A Game-Theoretic Approach for AI-based Botnet Attack Defence

A strong cyber defense system should be able to detect, monitor, and promptly leverage defence mechanisms to the cyber threats including evolving and intelligent attacks Hou et al. [2020], Brundage et al. [2018], Jang-Jaccard and Nepal [2014], Camp et al. [2019]. However, traditional defensive techniques cannot avoid the novel and evolving attacks which can leverage AI technology to plan and launch various attacks. AI-powered attacks can be categorized based on AI-aided and AI-embedded attacks. AI-aided attacks are those that leverage AI to launch the attacks effectively. In this type, the intelligent attackers use AI techniques. However, in AI-embedded attacks, the threats are weaponized by AI themselves such as Deep locker Stoecklin [2018] while in the AI-aided attacks, the attackers could launch various AI-based techniques to detect and recognize the target network, vulnerabilities, and valuable targets Kaloudi and Li [2020]. In fact, they utilize various AI techniques as a tool for various purposes. In Kaloudi and Li [2020], the authors investigated the AI-powered cyber attacks and mapped them onto a proposed framework with new threats including the classification of several aspects of threats that use AI during the cyber-attack life cycle.