An introductory preview of Autonomous Intelligent Cyber-defense Agent reference architecture, release 2.0. (January 2020)

• Record Type: Journal Article
• Authors: Kott, Alexander; Théron, Paul; Mancini, Luigi V; Dushku, Edlira; Panico, Agostino; Drašar, Martin; LeBlanc, Benoît; Losiewicz, Paul; Guarino, Alessandro; Pihelgas, Mauno; Rzadca, Krzysztof
• Other Names: Damodaran Suresh guest-editor.; Wagner Neal guest-editor.
• Is Part Of: Journal of defense modeling and simulation. Volume 17:Number 1(2020:Jan.)
• Page Start: 51
• Page End: 54
• Publication Date: 2020-01
• Subjects: Intelligent agent -- autonomy -- cyber warfare -- cyber defense -- agent architecture; Military art and science -- Computer simulation -- Periodicals; 355.0011305
• DOI: 10.1177/1548512919886163
• Languages: English
• ISSNs: 1548-5129

Abstract

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.