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650-379 - Advanced Borderless Network Architecture Systems Engineer - Dump Information

Vendor : Cisco
Exam Code : 650-379
Exam Name : Advanced Borderless Network Architecture Systems Engineer
Questions and Answers : 60 Q & A
Updated On : November 19, 2018
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650-379 Questions and Answers

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650-379 Advanced Borderless Network Architecture Systems Engineer

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650-379 exam Dumps Source : Advanced Borderless Network Architecture Systems Engineer

Test Code : 650-379
Test Name : Advanced Borderless Network Architecture Systems Engineer
Vendor Name : Cisco
Q&A : 60 Real Questions

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Cisco Cisco Advanced Borderless Network

LaSalle solutions Recertifies for advanced Specializations From Cisco | killexams.com Real Questions and Pass4sure dumps

ROSEMONT, IL--(Marketwired - Apr 23, 2014) - LaSalle options, a number one company of life-cycle administration features for expertise and capital property, announced these days that it has recertified in the following Cisco advanced specializations: advanced records center Specialization, superior without borders network structure Specialization and superior Collaboration architecture Specialization. These specializations respect LaSalle solutions as having fulfilled the practicing necessities and software must haves to promote, design and install finished Cisco® facts core, borderless network structure, and Collaboration architecture options.

The recertification comes on the heels of LaSalle options' recent cognizance because the Cisco® services accomplice of the yr for the united states. This prestigious award recognizes exemplary companions, like LaSalle solutions, who display most fulfilling-in-classification enterprise practices and serve as a mannequin to the trade.

"Our recertification for these vital specializations with Cisco demonstrates LaSalle solutions' dedication to providing our purchasers with unmatched performance, competencies and service," noted Steven Robb, president of the options group at LaSalle solutions. "As we proceed to sell, design, convey and support Cisco statistics middle, without borders network architecture and Collaboration structure options, these specializations will enable our group of specialists at LaSalle solutions to assist our valued clientele meet the company challenges of modern ever-changing marketplace."

advanced records middle Specialization The specialization offers function-based mostly practicing in three elementary areas: Unified cloth for optimizing statistics and storage wants; Unified Computing for streamlining facts middle substances and uniting network, computational, storage and virtualization platforms, and Unified community services for advancing the way utility start and safety capabilities are supplied in the data core network or computing atmosphere.

superior borderless network architecture Specialization The Cisco superior without borderlines network architecture Specialization is designed to support partners like LaSalle options meet a big range of customer wants. the mixing of the community with enterprise strategies and purposes requires a holistic method in accordance with the Cisco without borderlines network architecture.

superior Collaboration structure Specialization Cisco advanced Collaboration structure really expert companions, like LaSalle options, work with new and current technologies to align accessories of this structure with their clients' strategic dreams, helping transform company methods, enhance organizational effectivity and accelerate the time to market.

The Cisco Resale Channel program offers companions like LaSalle options with the training required to construct earnings, design, and technical ability after which validates their potential via a third-celebration audit.

The recertifications build on a few Cisco-connected milestones LaSalle options has previously finished, including:

  • Cisco US features companion of the year 2014
  • Cisco master Unified Communications Specialization
  • Cisco® Gold certified accomplice
  • global companion community accomplice
  • superior Collaboration architecture Specialization
  • TelePresence Video superior authorized know-how issuer (ATP) reputation
  • advanced Unified Computing know-how Specialization
  • advanced without boundary lines community architecture Specialization
  • consumer delight Excellence Gold celebrity - 37 consecutive quarters
  • Cisco capabilities partner of the 12 months, crucial location - 2010, 2011, 2012, 2013
  • About Cisco Cisco is the global chief in networking that transforms how people join, communicate and collaborate. guidance about Cisco can also be found at http://www.cisco.com.

    About LaSalle solutions situated in 1980, LaSalle options is a number one company of existence-cycle administration capabilities for know-how and capital assets. These features encompass acquisition and financing, IT asset administration, protection contracts administration, remarketing and disposition. LaSalle solutions' tactics, impressive client service and strong, market-main cloud-based toolset, LAMP, enable clients to greater economically and with no trouble control and plan to fulfill their dreams.

    LaSalle options is an independently operated business and a subsidiary of MB financial bank, a publicly traded Chicago-based mostly financial institution protecting enterprise. MB economic is traded on the NASDAQ as "MBFI." For greater counsel on LaSalle options, please consult with www.elasalle.com and www.YouTube.com/LaSalleSolutions.

    LaSalle options and LAMP are registered logos of LaSalle solutions in the u.s.. Cisco, the Cisco logo and Cisco systems are registered trademarks of Cisco techniques Inc. within the u.s. and sure other countries.


    Cisco fuses SD-WAN, protection and cloud services | killexams.com Real Questions and Pass4sure dumps

    seeking to support valued clientele batten down the aspect, Cisco is marrying its software-described extensive-area networking (SD-WAN) application with safety points whereas boosting assist for cloud features.

    many times SD-WAN customers have been forced to choose from adding more security to their SD-WAN at the cost of application efficiency or vice-versa, talked about Ramesh Prabagaran senior director of product administration at Cisco.

    “We need to assist purchasers clear up the safety and complexity problems at the cloud side the place networking, protection and multicloud environments meet,” he observed.

    What Cisco is doing is adding help for its Umbrella safety system to its SD-WAN application which runs on excellent of the IOS XE working system that powers its core branch, campus and commercial enterprise routers and switches.

    Cisco describes Umbrella as a cloud-delivered cozy web gateway, that stops present and emergent threats over all ports and protocols. It blocks entry to malicious domains, URLs, IPs, and info earlier than a connection is ever established or a file downloaded. It really protects purchasers and communications on the domain identify Server (DNS) layer.    

    Umbrella’s key points come from OpenDNS which Cisco bought for $635 million in 2015. OpenDNS offers a cloud provider that stops purchasers from connecting to dangerous cyber web IP addresses akin to those frequent to be linked to criminal pastime, botnets, and malicious downloads.

    “Umbrella blocks access to malicious locations before a connection is ever established, and it's backed by using the chance intelligence of Cisco Talos,” Prabagaran spoke of.  superior security is now integrated into Cisco SD-WAN devices and may be managed through a single pane of glass, enormously simplifying the management and manage of the SD-WAN and cloud aspect, he spoke of. 

    Pumping up the safety of SD-WAN applications is a key characteristic for Cisco and other SD-WAN players as a result of the expanding use of the internet as a prime transport mechanism, said Lee Doyle, important analyst at Doyle analysis.

    “With WAN traffic going here, there and far and wide it can be hard for firms to set up a secure perimeter. Cisco is calling to resolve that problem,” he pointed out.

    apart from the protection enhancements, Cisco observed it has partnered with Microsoft to optimize cloud-based workplace 365 application entry through Cisco SD-WAN.  Prabagaran pointed out the SD-WAN kit screens in true time all purchasable paths to the Microsoft workplace 365 cloud and is additionally able to check the closest cloud, leading to as much as 40 % faster performance for users.

    Linking to cloud offerings reminiscent of office 365 makes extremely good feel as a function for Cisco to present valued clientele, Doyle observed.

    “Linking up with numerous [software as a service] platforms is something you’ll see from different SD-WAN avid gamers too. It could be a key part of SD-WAN players' – now not simply Cisco – function units going forward,” he said.

    IDC past this 12 months brought up that as enterprise valued clientele add SaaS and IaaS capabilities they will increasingly look to SD-WAN as a way of “intelligently automating how application traffic is brought to branch websites, relocating faraway from common hub-and-spoke WAN architectures and the backhauling of information superhighway- and cloud-certain site visitors to on-premises datacenters toward the expanding use of broadband web breakout and different community transports – 4G/LTE and 5G – at the department for reasonable application birth.”

    In its “worldwide SD-WAN Infrastructure Forecast, 2018–2022,” IDC stated that the SD-WAN segment of the networking market will hit $4.5 billion and grow at a forty.four percent compound annual boom cost from 2017 to 2022. In 2017 by myself, SD-WAN infrastructure revenues expanded eighty three.three percdent in 2017 to attain $833 million.

    besides SD-WAN security and workplace 365 bulletins, Cisco said it opened a brand new segment of its DevNet application construction program designed especially for the SD-WAN group. The DevNet SD-WAN middle includes new SD-WAN open-developer APIs, learning labs, and sandboxes. 

    Cisco also added a few new appliances aimed toward branch workplaces. The ISR 1111X-8P and the ISR 4461 encompass integrated SD-WAN help. The ISR 1111X-8P contains Wi-Fi and LTE assist, whereas the ISR 4661 pursuits larger branches and integrates storage and compute features.

    join the network World communities on facebook and LinkedIn to comment on subject matters that are accurate of mind.

    Cisco programs And Its Bridge To possible | killexams.com Real Questions and Pass4sure dumps

    Cisco unveils new branding crusade on the Cisco companion Summit 2018.Will Townsend

    before i used to be an industry analyst, I spent a substantial period of time working in the IT distribution channel. First at Compaq, then HP (after the merger of the two corporations), and finally at a couple of smaller birth-ups. some of my fondest work experiences got here from time spent with companions, whether it became on a roadshow as a product supervisor evangelizing the noted Compaq Deskpro desktop laptop, or main the North the us channel income group for Ergotron and helping establish the marketplace for take a seat-to-stand computing options. With that in mind, I jumped at the opportunity to attend Cisco techniques partner Summit 2018 this week. The company launched a number of initiatives at the adventure, including a brand new branding crusade and enhancements to its SD-WAN and Catalyst change household offerings. i need to share my insights into some of those bulletins.

    Two flavors of SD-WAN served up with a facet of protection

    Cisco claims that fifty five% of firms will choose an SD-WAN offering within the subsequent three hundred and sixty five days and i accept as true with this statistic. At my ultimate count number, over 60 distinctive SD-WAN solution providers have been out there, both enormous and small. I trust this quantity will begin to swiftly consolidate in 2019 and a half dozen or so dominant avid gamers will emerge. I believe Cisco will be one of those SD-WAN victors for 3 motives—its install base, client selections, and its absolutely integrated security stack.

    Cisco has a large probability to convince its install base to upgrade their a million plus Cisco 4000 built-in services Routers. That should still be low hanging fruit for Cisco and could equate to $2B in salary by myself. From a consumer choice perspective, Cisco is casting a wide SD-WAN net with its acquisitions of Meraki and most currently Viptela. Meraki is geared towards groups that should install a simple, lean IT body of workers answer, whereas Viptela is well-suited for large firms that need secure segmentation and superior routing. I noticed many associate heads nodding in contract as Cisco executives defined this positioning on stage on the event.

    community security is a problem for any corporation, inspite of dimension, and i discovered Cisco’s announcement of a full security stack integration across its whole SD-WAN offering exceptionally compelling. The benefits are a lot of—single example administration for SD-WAN deployment and security, and simplified cloud safety administration to identify just a few. Add in new Cisco DevNet learning labs and sandboxes for builders, a brief delivery carrier, and a partnership with Microsoft that displays the office 365 cloud and gives you a significant increase in utility efficiency, and Cisco has seriously raised the bar for SD-WAN. All of those choices may still be attainable this present calendar quarter (4Q 2018).

     Catalyst adds instant to its bag of tricks

    Cisco claims that its Catalyst 9000 swap household turned into developed from the ground up for intent-based mostly networking. the entire items run on an open and programmable working gadget and make the most of a single application controller for automation and simplicity. the road has been lauded because the most successful product in the business’s background. the brand new Catalyst 9800 is the primary within the line to characteristic a instant controller. The wireless line extension can be run on-premises, within the cloud, or embedded virtually. a new mid-market and branch providing, the Catalyst 9200 series, allows for Cisco to sell its switch line extra generally. From my perspective, the promise of one operating device across wired and instant deployments is compelling. It has the capabilities to make network management less complicated, new feature deployment sooner, and automation a reality—freeing up IT staff for more cost-delivered actions in aiding key strains of corporations.

    Wrapping up

    Given the persisted momentum of both the Meraki and Viptela SD-WAN solutions (pretty much 15,000 SD-WAN shoppers to this point) and the ongoing success of the Catalyst line, Cisco is awfully neatly-placed. I’m additionally impressed with CEO Chuck Robbins’ appointment of three new individuals to his government leadership team: Amy Chang (main collaboration), Oliver Tuszik (leading channel), and Gerri Elliott (main a first-ever mixed sales and marketing company). i was impressed with the ranges of energy, enthusiasm, and acumen they proven on stage at Day 1 of the companion summit.

    right through the outlet keynote, chief marketer Elliott introduced Cisco’s new branding crusade “Bridge To feasible” with star Wars actor John Boyega (a.okay.a Finn) talking to SD-WAN and its probabilities in his native British accent. I need to admit, the business had me with the famous person Wars hook—I’m a self-professed Jedi nerd! It may be enjoyable to look if Cisco can also hook latest and new consumers with these extremely utility-described networking answer choices. may additionally(be) the drive should be with them.

    Disclosure: My company, Moor Insights & method, like several analysis and analyst corporations, offers or has offered research, analysis, advising, and/or consulting to many excessive-tech organizations within the trade including Microsoft, HP, and Cisco techniques. I do not hang any fairness positions with any businesses stated in this column.


    650-379 Advanced Borderless Network Architecture Systems Engineer

    Study Guide Prepared by Killexams.com Cisco Dumps Experts


    Killexams.com 650-379 Dumps and Real Questions

    100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



    650-379 exam Dumps Source : Advanced Borderless Network Architecture Systems Engineer

    Test Code : 650-379
    Test Name : Advanced Borderless Network Architecture Systems Engineer
    Vendor Name : Cisco
    Q&A : 60 Real Questions

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    USSOCOM, Army look to biometrics industry for new technologies for SOF of the future | killexams.com real questions and Pass4sure dumps

    A Request for Information (RFI) on methods of continuously authenticating user identity by a person’s distinctive characteristics using software-based biometrics or behavioral profiling is being sought by the Army Contracting Command-Aberdeen Proving Ground (ACC-APG), Huachuca Division, Fort Huachuca, Arizona.

    Meanwhile, under a continuing Broad Agency Announcement (BAA), the US Special Operations Command’s (USSOCOM) Program Executive Office (PEO) for Special Reconnaissance, Surveillance, and Exploitation (PEO-SRSE) — a component of USSCOM Special Operations Forces Acquisitions, Technology & Logistics (SOF AT&L-SR) — has requested “White Papers” from the biometrics industry for a biometric product line of “technologies to collect, analyze, and distribute various physical parameters that can be used to identify personnel.”

    Both actions are directly connected, though you wouldn’t necessarily understand the connection until both the RFI and the “White Paper” are viewed in the perspective and context of The US Army Concept for Cyberspace and Electronic Warfare Operations 2025-2040 strategy document.

    Fort Huachuca is headquarters of the US Army Intelligence Center and Army Network Enterprise Technology Command (NETCOM)/9th Army Signal Command. It’s also headquarters of the Army Military Affiliate Radio System (MARS) and Joint Interoperability Test Command (JITC) and Electronic Proving Ground (EPG), as well as the Joint Interoperability Certifier and the only non-Service Operational Test Agency for Information Technology (IT)/National Security Systems. JITC provides risk based test, evaluation, and certification services, tools, and environments to ensure Joint Warfighting IT capabilities are interoperable and support mission needs.

    There’s also the Army Information Systems Engineering Command (USAISEC), whose primary mission is system engineering and integration of information systems for the Army, which includes design, engineering, integration, development, sustainment, installation, testing, acceptance of information systems, and evaluation support for communications and information technology systems worldwide providing capabilities to Army organizations, combatant commanders, DoD agencies, and federal agencies in support of the warfighter. And, there’s also the Communications Security Logistics Activity and the Army Intelligence and Security Command Training and Doctrine Support.

    USSOCOM’s PEO-SRSE is responsible for the acquisition, fielding, and sustainment of intelligence systems for Special Operations Forces (SOF) which “contribute directly to USSOCOM priorities to deter, disrupt, and defeat terrorist threats and sustain and modernize the force in persistent intelligence surveillance and reconnaissance.” It’s mission is also to discover, evaluate, and transition technologies to provide an asymmetric advantage for SOF.

    The ACC-APG’s RFI’s “primary objective … is to provide methods of continuously authenticating user identity by the distinctive characteristics of the individual by using software-based biometrics or behavioral profiling. The capability should be accurate, robust, and transparent to the user’s normal computer operation.”

    The RFI was “issued for the purpose of developing a viable RFP [Request for Proposal] that will best communicate the government’s requirements to industry through this exchange of information. Responses to this request are considered voluntary, and will not affect the contractor’s ability to submit a proposal if, or when, an RFP is released,” ACC-APG said.

    However, “The requested information is for planning purposes only, and does not,” ACC-APG, said, “constitute a commitment, implied or otherwise, that a procurement action will be issued.”

    The purpose of the ACC-APG RFI is to “conduct market research to gain knowledge and information on new and innovative capabilities, and to help identify potential parties capable to support these requirements in a global, integrated solution that supports and provides active, persistent monitoring and analysis of the enterprise network environment.”

    Additionally, ACC-APG said it “would like to gain insight on the socio-economic possibilities that exist, and qualifications that exist of members of the business community capable in supporting this requirement.”

    ACC-APG’s requirements are:

    • Provide authentication (stand alone or composite) capability to the Department of Defense (DOD) Information Network-Army (DODIN-A);• Detect unauthorized use of another’s credentials;• Take automatic action to remove user network access upon failed authentication;• Provide for continuous assurance of user authentication;• Detect anomalies in users’ behavior;• Allow multiple tiers of security granularity based on access privileges, risk policies, user status (VIP, etc.);• Allow remote admins to authenticate to end-user devices;• Be transparent to the user;• Provide ability for admins to review logs and generate reports on a sufficient scale to support multiple tiers (strategic to tactical) of organizational views for +1 Million concurrent users;• Provide advanced sorting, searching and alerting capabilities for current and past events• Modular architecture;• Internally tracked statistics and metrics of the system and of events;• Ability to export metrics to other reporting/visualization systems;• Allow for intuitive usability with training for users in order to use the system efficiently and effectively;• Provide high availability capability as a system for network authentication; and• Interoperate with existing and legacy Department of Defense systems to support dependable authentication.

    While the RFI did not define DODIN-A, according to The US Army Concept for Cyberspace and Electronic Warfare Operations 2025-2040, DODIN-A’s “operations consist of actions taken to design, build, configure, secure, operate, maintain, and sustain communications systems and networks in a way that creates and preserves data availability, integrity, confidentiality, user/entity authentication, and non-repudiation.” DODIN-A was further described as “the baseline cyberspace platform for Army operations,” which includes “proactive measures such as configuration control, patching, information assurance measures and training, physical security, secure architecture design, operation of host-based security systems and firewalls, and encryption of data.”

    The Army explained that Electronic Warfare (EW) consists of Electronic Attack (EA), Electronic Protect (EP), and Electronic Support (ES),” and that “when discussing the DODIN, this concept will address the Army’s portion of the DODIN as DODIN-Army.

    But DODIN-A is much more. According to The US Army Concept for Cyberspace and Electronic Warfare Operations 2025-2040, it’s “an integral part of cyberspace and EW [electronic warfare] operations,” serving “as an operational warfighting platform that enables global collaboration, ensures access at the point of need, extends to the tactical edge, and can enable the full range of available cyberspace and EW options … DODIN-A enables maneuver from a strategic distance, using Army operational and institutional force capabilities to prevent conflict, shape outcomes, and ultimately win. DODIN-A capabilities allow Army forces to operate more dispersed over wider areas in support of joint combined arms operations. The convergence of disparate DODIN-A transport capabilities into a single transport backbone is a crucial component of operationalizing cyberspace.”

    Cyberspace defense of DODIN-A is absolutely crucial, the RFI says, in order to provide “threat monitoring, detection, analysis, and response actions. Army systems provide autonomous detection and response capabilities. By building, operating, and defending cyberspace infrastructure, cyberspace operations forces enable commanders to conduct decentralized operations, enhance understanding of the operational environment, and transition rapidly between operations. A defended and resilient DODIN-A is essential in establishing and supporting multifunctional battle teams conducting disaggregated maneuver.”

    The RFI says both, “Cyberspace and EW operations provide capabilities that enhance the impact to potential adversaries in both the physical dimension and cognitive functions creating multiple dilemmas. The Army uses cyberspace and EW capabilities to support information warfare. Information warfare fully encompasses and broadens current information operations and spans several capabilities and functions such as: military information support operations, military deception, operations security, EW, physical attack, special technical operations, information assurance, DODIN-A operations, public affairs, and civil-military operations.”

    Army forces incorporate cyberspace and EW operations as essential and consistent components of its leader development, education and training effort to produce and maintain a highly capable military and civilian cyberspace operations workforce.

    “The scope of cyberspace operations leader development, education, and training will change across all ranks, positions, and organizational command structures,” the RFI states, noting, however, that, “The Army uses a common baseline of training for personnel to reduce risk posed by the weakest link in cybersecurity, the user,” which is why the Army’s software-based biometrics behavioral profiling “capability should be accurate, robust, and transparent to the user’s normal computer operation,” but still be able to determine a baseline of normal user activities , and then to identify deviations, ACC-APG stated in its RFI.

    To provide defensive cyber operation tools. the network must have the ability “to absorb the shock of a cyber-attack, identify adversary actions, respond with pre-determined actions, and ensure mission continuity. DODIN-A will assess, compose, and deploy cyber elements with known and predictable confidence in their identity, functionality, and content.”

    The Army is leveraging both joint and holistic industry approaches to develop secure systems that are able to adapt and maneuver automatically to reduce, counter, and evade cyber-attacks.

    Responses to the RFI “should reflect an understanding of applicable DoD, Army, and commercial industry standards and policies for confidentiality and integrity to provide appropriate security controls across the integrated capability. This will include enforcement of access controls and integration with existing enterprise resources for identity, authentication, and authorization,” the RFI stressed.

    The SOF AT&L-SR’s BAA is for a biometrics product line that encompasses technologies used to collect, analyze and distribute various physical parameters that can be used to identify personnel, with a “particular interest in technologies with a small form factor that provide the capability to rapidly (under 2 min) identify personnel, reduce false alarm rates and/or offer novel approaches at short to long distances in all environmental conditions.”

    The technologies of interest are:

    • Touchless fingerprint capture for matching against authoritative databases and on-board watch lists;• Facial and/or iris capture for matching against authoritative databases and on-board watchlists; and• Rapid, portable DNA collection and processing for matching against authoritative databases and on-board watch lists

    USSOCOM said, “Special Operations Forces require a content management system (CMS) for all employed advanced exploitation (biometric and Document and Media Exploitation (DOMEX)), and scientific instrumentation (latent print, chemical, DNA). The CMS must be able to operate stand-alone or as part of a network. The CMS must be capable of operating under multiple operating systems (iOS, Windows, Android). Content may consist of but not limited to video, interactive depictions, and literature which support operating procedures, routine hardware and software maintenance, trouble shooting and repair, and manufacture’s manuals and literature. While connected the CMS should recognize specific instruments and support routine hardware/software maintenance and update training aids. In addition, the CMS must have the capability to relay to a remote SME instrument maintenance history, software load, and other relevant device metadata.

    DOMEX coordinates with multiple government agencies and has access to an unknown number of government data sources to develop case files and write Intelligence Information Reports (IIR) for prompt dissemination to SOF forces and Intelligence Community. It falls under the domain of USSOCOM’s Joint Intelligence Center, Special Operations Command, Identity Intelligence Operations Division (JICSOCi2O) within the J2 Directorate of Intelligence, which conducts Processing, Exploitation, and Dissemination (PED) of biometrics, forensics, and DOMEX intelligence for SOF commanders and national decision-makers. The USSOCOM J2 has major responsibilities in the areas of threat identification, Sensitive Site Exploitation (SSE), Weapons Technical Intelligence, Force Protection, SOF vetting of “Green Force” personnel, identity protection, and Blue Force biometrics.

    USSCOM J2 also includes what are called Identity Intelligence Exploitation Cell (i2EC) analysts. “I2 is the collection, analysis, exploitation, and management of identity attributes and associated technologies and processes. The identification process utilizes biometrics-enabled intelligence (BEI), forensics-enabled intelligence (FEI), information obtained through document and media exploitation (DOMEX), and combat information and intelligence to identify a person or members of a group.”

    “I2 fuses identity attributes (biological, biographical, behavioral, and reputational information related to individuals) and other information and intelligence associated with those attributes collected across all intelligence disciplines,” the doctrine stated.

    According to IBM, “US ground forces handle a massive amount of information and data while working under unpredictable conditions. That means military intelligence analysts don’t always have a technologically reliable way to share and receive information. They must overcome both enterprise communication challenges, which force them to operate for periods with little to no access to data and information overload when connections are available.”

    “Identity intelligence is a relatively new intelligence construct that refers to the analysis and use of personal information, including biometric and forensic data among others, to identify intelligence targets of interest and to deny them anonymity,” said Steven Aftergood, director of the Federation of American Scientists’ Project on Government Secrecy. He noted that the term first began to appear around 2012, “and was included, for example, in a 2012 Defense Intelligence Agency briefing package. Since then it has quickly propagated throughout US military and intelligence operations.”

    I2 was included for the first time in US military doctrine in the October 2013 Joint Publication 2-0 on Joint Intelligence, which elaborated on the concept. I2 is used, JP 2-0 said, “to discover the existence of unknown potential threat actors by connecting individuals to other persons, places, events, or materials, analyzing patterns of life, and characterizing their level of potential threats to US interests.”

    It was also described in a leaked Top Secret COMINT document, titled, Identity Intelligence: Image is Everything, which described IT “is exploiting pieces of information that are unique to an individual to track, exploit and identify targets of interest.”

    I2EC analysts biometric related responsibilities include, but are not limited to:

    • Performing all-source intelligence analysis, including producing reports based on identity intelligence submissions and writing intelligence information reports IIRs;• Provide Processing, Exploitation and Dissemination (PED) for the I2 related modalities within biometrics, forensics, and DOMEX for global SOF;• Provide analytical input during future requirements development, testing, evaluation, and training events for new biometric sensors, forensics, CELLEX (Cellular Phone Exploitation), DOMEX and SOFEX (the Special Operations Forces Exploitation) portal.• Ensure production dissemination to appropriate i2 related data repositories, both current and future; for example, the DoD Automated Biometric Identification System (ABIS);• Provide all necessary quantifiable i2 production statistics for the Management Monthly Status Report (MMSR) and any future requirements gathering and process development. Conduct briefings and prepare White/Information Papers;• Provide nominations and support for management of Watchlists/Watchlist type products, including the Biometrics Enabled Watchlist (BEWL) and Digital Media Enabled Watchlist (DMEWL) for theater specific and comprehensive lists which provide a method for operationalizing the output of biometrics and forensics intelligence;• Provide SOFEX-TEA i2 notional products to support JETC training PED requirements;• Provide i2 temporary embedded PED support to deployed military units in accordance with guidance from the SOCOM Intelligence Community (IC) and theater i2 senior leadership both CONUS and OCONUS;• Provide nominations to DoD BEWL for persons of interest IAW with all applicable SOPs;• Manage DoD BEWL nominations with current theater BEWL IAW with all applicable SOPs;• Coordinate with other theater elements and CONUS SOCOM reach-back BEI/FEI/DEI capabilities to provide support to theater i2 requirements; and• Provide continuous professional development on new/emerging biometrics intelligence processes which supports worldwide operations, national and COCOM intelligence priorities, and other applicable intelligence topics.

    CELLEX is a wireless remote document and media exploitation program using devices expected to be deployed in the next few years in tactical site exploitation environments which feed directly into DOMEX, as described this year by USSOCOM Sensitive Site Exploitation (SSE) Program Manager, Glen Cullen. Devices discussed include Cellebrite’s UFED 4PC, which “provides users with advanced capabilities to perform data extraction, decoding and analysis from the widest range of mobile devices, on a single platform,” the company says.

    The SOFEX Exploitation Portal enables transmission (Tx) and receiving (Rx) of all SSE intelligence exploitation under the PEO/SRSE, including biometrics.

    According to the program manager for SSE, SSE’s priorities include:

    • On site collection of biometrics to verify/enroll subjects into DOD authorized biometric databases; and• Provide actionable intelligence through the rapid detection, collection, and identification of physical and digital forensic evidence while on a sensitive site to enable identity operations.

    SSE priority efforts at this time are:

    • Procuring/fielding tactical biometric devices;• Providing rapid DNA data collection capability; and• Evaluating and deploying innovative DOMEX and forensic technologies.

    Presumably, Green Force personnel man Green Force Tracker, the Army’s implementation of IBM Sametime, which provides secure, instant messaging, either via one-on-one chats or group chats.

    Blue Force Tracking (BFT) is a key situational awareness network which is integrated on more than 120,000 platforms, and is fielded or authorized to every brigade combat team in the Army.

    Blue Force biometrics, according to a variety of military and other documents, originally was the collection of physiological or behavioral data from US military troops that could help develop diagnostic applications to benefit individual service members. It may also have included a population group of trusted individuals including DoD personnel and family members, US persons, trusted allies, and coalition members.

    But when 9/11 occurred, it was revealed that the US’s ability to identify enemy combatants contained a “weakness.” So, the “US military took what was once Blue Force biometrics—a measurement of human signatures like facial images, fingerprints and DNA (which are all a part of an enrolling military member’s record)—and flipped their use to track combatants rather than their own personnel. This shift led to record use of biometrics in Operation Iraqi Freedom and Operation Enduring Freedom to assist in green (partner), grey (unknown), and red (enemy) force identification,” wrote Sarah Soliman, in her 2017 paper, Options for Next Generation Blue Force Biometrics. Soliman is a technical analyst at the RAND Corporation who spent two years in Iraq and Afghanistan as a field engineer supporting ISR, biometrics, forensics, and sensitive site exploitation, including time with USSCOM. She also worked at the Department of Defense Biometrics Management Office.

    “The US military became highly equipped for a type of identification that validates a person is who they say they are,” she added, which seems to comport with the USSCOM BAA, which states, “Responses should reflect an understanding of applicable DoD, Army, and commercial industry standards and policies for confidentiality and integrity to provide appropriate security controls across the integrated capability. This will include enforcement of access controls and integration with existing enterprise resources for identity, authentication, and authorization.”

    authentication  |  biometrics  |  cybersecurity  |  identity verification  |  RFI  |  rfp  |  United States


    Sugon Launches New Generation of Its Silicon Cube Series Supercomputer at SC18 | killexams.com real questions and Pass4sure dumps

    Nov. 12, 2018 — At SC18, Sugon is demonstrating the first global pre-release of a new generation of Silicon Cube HPC series, an integration of multiple cutting-edge technologies towards the development of supercomputing technology and applications in the future.

    This new generation of Silicon Cube series High Performance Computer adopted the phase-change liquid cooling technology with the highest computing density and energy efficiency. Meanwhile, according to Dr. Li Bin, General Manager of HPC Division at Sugon, the system applied many other crucial technologies to make it a world leading HPC solution in terms of technology and engineering implementation, including computing, networking, storage, cooling, overall management and so on. The product meets for the higher demands of compute density, energy efficiency, and storage.

    Pioneering frontier of supercomputing

    For decades, the performance of supercomputers has maintained a steady and rapid growth, at about 1,000 times in every 10 years. However, in the past few years, during the physical limitation of chip cores, the rate drops significantly. The main reason, Dr.Li Bin believes, relates to that supercomputing is approaching to its power consumption and system scale limits, therefore is facing challenges from TDP, extendibility and reliability etc.

    On the other hand, the astounding popularity of artificial intelligence, largely represented by machine learning and deep learning, boosts explosive growth of computing resources demands. At the same time, facing increasingly serious global challenges, we have utilized supercomputers to deepened the exploration in global weather and climate, new energies, new materials, precision medicine, brain-style computing, etc. This brings boundless needs of supercomputing from scientific research and industry aspects.

    “It’s no longer possible to improve the performance of supercomputers by simply enlarging system scale or increasing power dissipation. Higher performance has to depend more on lower PUE.” Dr.Li Bin said. Sugon believes that the development of HPC will inevitably focus on energy efficiency, application scale-up, architecture upgrading and intelligence evolution.

    With this observation, Sugon has emphasized technological innovation in developing the new generation of HPC. After years of technology accumulation and product perfection, Sugon has made remarkable achievements, especially in lower PUE and architecture upgrading, which have been included in the New Generation of Sugon Silicon Cube series High Performance Computer.

    Solving the greatest HPC technical challenges

    In general, the highlights of the new HPC series lay on the comprehensive improvements in PUE, network optimization and scalability. Comparing with its predecessor launched in 2015, the new series delivers a highly technical and successful result in solving power consumption, extendibility and reliability challenges.

    Dr. Li Bin further remarked that the new Silicon Cube has comprehensively applied the architecture adoption of heterogeneous computing, improving system PUE remarkably, in addition to strengthening system supports for AI applications. Meanwhile, the system has applied the most advanced 6D-Torus high speed network technology to further improve system network I/O performance as well as system fault tolerance and extendibility.

    One pioneering initiative of the new series is embodied as the application of immersion phase change liquid cooling technology. By use of such technology, the system PUE could be lower than 1.04, and the system performance is increased by at least 5% on the other hand. If fact, Sugon plays a global leading role in both liquid cooling technology and engineering implementation, Dr. Li added.

    Moreover, the New Generation of Sugon Silicon Cube series High Performance Computer has integrated the company’s latest technology in EB level high-

    performance storage, which is highly compatible to the improvement computing performance. By means of software defined hyper-convergence management and resource scheduling, and systematic operation maintenance and operation supports, Sugon has further broadened the coverage of HPC applications among industries, and further explore the smarter supercomputers.

    “Comparing with its predecessor, in general, the new series has improved the network performance by 2 times, overall performance by 10 times, and computing density by 10 to 20 times, and the system energy efficiency by 4 times. The improvement of various technical indicators has laid a solid foundation for developing the future high-performance computers. ”

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    Source: Sugon


    Deep Dive Into Tesla’s Autopilot & Self-Driving Architecture vs Lidar-Based Systems | killexams.com real questions and Pass4sure dumps

    November 4th, 2018 by Paul Fosse 

    In this article, I’m going to try to take a very technical and complicated subject — namely, the technical details of Tesla’s and others autonomous driving systems — and make it understandable for non-engineers. I may or may not succeed in that goal. Let me know in the comments how I did. If it gets too technical and you end up learning something accidentally, I’m sorry, not sorry.

    I’m going to go over some history of the choices that Tesla has made, look at some things that hackers have gleaned from looking at Tesla’s V8 and V9 networks, and explain why Tesla is likely to become the first company to get autonomous driving to work in the general case (anywhere a human can drive).

    I’ve read many good articles on this site that explain various aspects of the components needed to build a full self-driving car. Michael Barnard’s article on the technical differences between LIDAR, Radar, Ultrasonic, and Passive Video (cameras) gives you a great base of knowledge to start to understand the choices designers choose from.

    Basically, Tesla uses 3 mature and cheap technologies to do what they do best: Radar, to see a good distance forward in all conditions (light, dark, and all weather); Ultrasonic, to measure proximity in all conditions; and Passive Video, to see long distances in all directions and recognize objects in all conditions that it is safe for humans to drive in.

    Additionally, Steve Hanley’s article last year on new research that suggests that LiDAR isn’t necessary for fully autonomous driving gives you a peek into Elon Musk’s thinking on the subject in a 6 minute video.

    After reading these two articles, I knew Tesla was going a different way than the rest of the industry, but I still wondered why Tesla had made that decision. When I listened to Rob Maurer’s interview of Jimmy_D this week, it helped me put the pieces together as to why Tesla has decided to go down the path it has chosen.

    Jimmy first explains that a neural network is a way of making a computer program. As a software engineer for 34 years, I am well aware that artificial intelligence in general and neural networks in particular have been over promising and under delivering for years. A quote I came across that summarized their reputation in the industry was by J. S. Denker: “neural nets are the second best way to do almost anything.” This changed recently, but before I tell you about that, I need to explain how neural networks are different from regular programming and give you an example of an area traditional programming has failed to solve.

    In traditional programming, the developer writes a series of instructions to tell the computer what to do.  With machine learning and specifically using neural networks to do machine learning, you don’t tell the computer how to do something, you just give it a lot of data and design a system that can learn the instructions.

    The example Jimmy gave in the interview is looking at a picture and determining if that picture is a dog or a cat. The picture could be any resolution. It could be black and white or color. It could be from near or far and from any angle. The animal could be any age or breed or color. The animal might be running, sitting, sleeping, or jumping. You can see that writing a traditional program where you have to have statements with “if, then, else, end” logic would either be impossible or take a large team of programmers years to develop. Yet a young child can do this easily. How? Because they learn it by examples, not by learning rules like we must do for spelling in English.

    i before e,

    Except after c,

    Or when sounded as “a,”

    As in neighbor and weigh. 

    This example provides the contrast between how we learn speaking a language as a child and how we learn spelling. We learn speaking (and how to recognize dogs and cats) using our “neural network,” while we learn spelling like a traditional computer program — you have to remember all the rules and exceptions to those rules.

    So, now that you understand the basic difference in approaches, it’s important to know that there was a breakthrough in 2012 that changed everything. There is an annual competition called “Large Scale Visual Recognition Challenge” and it was won by large established teams of developers every year, until it wasn’t. In 2012, three grad students used a neural network based model they had developed for about 6 months and shocked the industry by winning!

    Neural networks (think of the dog and cat example above) have always been superior to traditional programming at image recognition, but the problem is that if you need 100 years of processing power to train the model, it doesn’t do you any good. The innovation these students discovered is that they could use the graphics processing units (GPU) of high-end gaming cards to train their model instead of general CPUs. General purpose CPUs are very good at running a wide range of workloads and are backward compatible for 30 years of old software, but all that flexibility means they are a “jack of all trades and master of none.” GPUs are very good at math and a few other things.

    This breakthrough changed how leaders in the industry solved a lot of very difficult problems, including how Google translates several difficult language pairs (Japanese to English, for example) and how many companies do speech recognition. As I reported in my first article for CleanTechnica 3 months ago, Tesla has developed a new chip that is 10 times as fast for matrix multiplication (the main operation that neural networks do).

    Team Tesla

    So, why did Tesla go down this path while everyone else went down the LIDAR path? I think that can be explained by 3 factors.

    1. Tesla was a small startup with little money, which encouraged the team to use sensors that are cheap (radar, ultrasonic, and cameras are all cheap). Others in the industry had or have deep pockets, so they can afford to work with expensive LIDAR systems.

    2. Tesla started (or restarted) its effort after 2012 (the breakthrough) and realized the breakthrough “changed everything.”

    3. Most importantly, Elon Musk realized that it is faster and cheaper to design a computer to drive like a human (using cameras for eyes) than to try to rebuild 100 years of roads around the world. You read lots of articles that say we won’t have self-driving cars until we have new roads, new 5G networks, or cheap LIDAR, but Tesla has determined that if we can just solve the image recognition problem (that the car/computer can tell a dog from a cat from a bicycle from a truck), the cars can drive like humans without waiting for new roads, networks, or LIDAR sensors.

    Now that we understand a little bit about neural networks and that Tesla is developing the best hardware in the world to run them, let’s talk about what Jimmy D has discovered in Version 9 of Tesla’s software.

    Version 9 uses one neural network with one set of weights to process all 8 cameras. This may be tougher to train, because each camera has a different view of the world, but Jimmy D hopes that this more general abstraction means that the neural net will have a deeper understanding of the look of objects from all views when trained this way.

    Another enhancement he noticed is the net processes 3 color channels and 2 frames at a time. He speculates that the 2 frames are from different times and can be used to detect motion, which can aid in telling what is in the background and what is in the foreground of a picture. Telling the relative speed of an object helps to determine if an object is a car, bicycle, or pedestrian.

    It is likely that the massive expansion of data processed by this release is approximately the limit of the V2 and V2.5 hardware installed in all cars built since October 2016 and in order to achieve further substantial gains in performance, we will have to wait for the V3 hardware expected next spring.

    Team LIDAR

    So, why did everyone else go down the LiDAR path? Because, in 2007, the LiDAR-equipped vehicles made history by successfully navigating through an urban environment and obeying the traffic laws.

    That was 10 years ago, so why don’t we have self driving cars now? Because, as I learned from listening to Jimmy D on the podcast, navigating through an urban environment and obeying the traffic laws is child’s play. What is difficult is driving like a human so you don’t upset all the other drivers on the road. See, if you never run into anything in your self-driving car, but you cause many accidents (or even simply driver frustration) because you drive in a strange way that confuses those around you, society (government) will shut you down pretty quickly. But if you have ever worked in a large company or government agency, you will realize that once an organization has gone down one path, it is very difficult (due to the oversized egos of its executives as well as institutional inertia) to admit it’s the entirely wrong path and commit resources to another path — until competition embarrasses the organization. I think Google’s system has some chance of success, given the company’s massive financial muscle, but what really hurts the approach is its dependence on 3 things:

    1. The cars can only drive in zones that have been extensively mapped and processed by Google.

    2. They require LIDAR and can’t deploy millions of vehicles until LIDAR costs come down.

    3. It requires a huge amount of handwritten software to get the cars to drive in ways that don’t confuse other drivers and pedestrians.

    Since Google has the money to drive the first two points and might have the software talent to pull off the third point, I won’t count them out of the race. But once they get it working in one city, they won’t be able to scale it to other cities very easily, so they might win the race locally, but still lose as they attempt to scale the solution to other markets.

    Another issue is adapting to construction zones and detours. Any solution that requires detailed mapping (since it can’t read signs) seems likely to fail as conditions change without warning. Using cameras like eyes and following signs for construction and detours like a human should be more flexible and adaptable. Google’s team doesn’t yet realize that it is spending all its time and money on the easy issue of not running into things and seemingly hasn’t even started on the problem of how to interpret signs that tell humans how to navigate the world in real time. The history of computing is making use of increasing computational power to replace specialized devices. Think of the 50 things the smartphone you are reading this article on has replaced. [Sort of irrelevant but sort of fun editor’s note: Depending on the article, approximately 1/2 to 4/5 of you read our work on a smartphone. I am editing this piece on a laptop, which increasingly is something I have to consider while editing!]

    Conclusion

    The way I see this battle for the self-driving future, the evidence I’ve shown explains that if Tesla is able to get its image recognition working before another competitor has a commanding lead in the market, Tesla should be able to scale its solution faster than the LIDAR approach for 2 reasons.

    1. Tesla already has more vehicles on the road today with the necessary sensors.

    2. Tesla’s approach doesn’t require as detailed knowledge of the roads, since it will be designed to read and react to signs rather than need to have all possible routes pre-calculated.

    By 2019, we should see these two teams start to deploy more advanced implementations of their designs. It will be exciting to watch them compete. It will be important for each to learn about what is working for both their team and the other team, and sometimes react quickly. With the self-driving market expected to grow by 36% a year over the next 5 years, this is an important market to watch!

    Highly related article from 2015: Tesla Has The Right Approach To Self-Driving Cars

    You can use my Tesla referral link to get 6 months free Supercharging on Model S, Model X, or Model 3. You can also get a 5-year extended warranty on solar panels. Here’s the code: https://ts.la/paul92237

    Tags: Google, LIDAR, radar, self driving cars, Tesla, Tesla autopilot, Tesla Full Self-Driving, Tesla self driving cars, Waymo

    About the Author

    Paul Fosse I've been a software engineer for over 30 years, first working on EDI software and more recently developing data warehouse systems in the telecommunications and healthcare industry. Along the way, I've also had the chance to help start a software consulting firm and do portfolio management for several investment trusts. In 2010, I took an interest in electric cars because gas was getting expensive. In 2015, I started reading CleanTechnica and took an interest in solar, mainly because it was a threat to my oil and gas investments in my investment trusts. Tesla investor. Tesla referral code: https://ts.la/paul92237



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