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An introductory preview of Autonomous Intelligent Cyber-defense Agent reference architecture, release 2.0

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F20%3A00118543" target="_blank" >RIV/00216224:14610/20:00118543 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.sagepub.com/doi/10.1177/1548512919886163" target="_blank" >https://journals.sagepub.com/doi/10.1177/1548512919886163</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/1548512919886163" target="_blank" >10.1177/1548512919886163</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An introductory preview of Autonomous Intelligent Cyber-defense Agent reference architecture, release 2.0

  • Original language description

    The North Atlantic Treaty Organization (NATO) Research Task Group IST-152 developed a concept and a reference architecture for intelligent software agents performing active, largely autonomous cyber-defense actions on military assets. The group released a detailed report, briefly reviewed in this article, where such an agent is referred to as an Autonomous Intelligent Cyber-defense Agent (AICA). In a conflict with a technically sophisticated adversary, NATO military networks will operate in a heavily contested battlefield. Enemy malware will likely infiltrate and attack friendly networks and systems. Today's reliance on human cyber defenders will be untenable on the future battlefield. Instead, artificially intelligent agents, such as AICAs, will be necessary to defeat the enemy malware in an environment of potentially disrupted communications where human intervention may not be possible. The IST-152 group identified specific capabilities of AICA. For example, AICA will have to be capable of autonomous planning and execution of complex multi-step activities for defeating or degrading sophisticated adversary malware, with the anticipation and minimization of resulting side effects. It will have to be capable of adversarial reasoning to battle against a thinking, adaptive malware. Crucially, AICA will have to keep itself and its actions as undetectable as possible, and will have to use deceptions and camouflage. The report identifies the key functions and components and their interactions for a potential reference architecture of such an agent, as well as a tentative roadmap toward the capabilities of AICA.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology

  • ISSN

    1548-5129

  • e-ISSN

    1557-380X

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    4

  • Pages from-to

    51-54

  • UT code for WoS article

    000496078600001

  • EID of the result in the Scopus database

    2-s2.0-85075161817