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

Logo poskytovatele

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Ústav výpočetní techniky. Oficiální stránka publikace je na webu muni.cz.
Autoři

KOTT Alexander THERON Paul MANCINI Luigi DUSHKU Edlira PANICO Agostino DRAŠAR Martin LEBLANC Benoit LOSIEWICZ Paul GUARINO Alessandro PIHELGAS Mauno RZADCA Krzysztof

Rok publikování 2020
Druh Článek v odborném periodiku
Časopis / Zdroj The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology
Fakulta / Pracoviště MU

Ústav výpočetní techniky

Citace
www https://journals.sagepub.com/doi/10.1177/1548512919886163
Doi http://dx.doi.org/10.1177/1548512919886163
Klíčová slova Intelligent agent; autonomy; cyber warfare; cyber defense; agent architecture
Popis 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info