Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage

2025-09-05

AI Summary

Advanced Persistent Threat (APT) attackers exhibit systematic cognitive biases—such as confirmation bias and anchoring—that represent an underexploited defensive opportunity. Method: We propose a *cognitive arbitrage framework* that establishes a proactive, cross-level (strategic–operational–tactical) defense paradigm. A two-layer game-theoretic model formalizes attacker-defender cognitive interactions; attacker biases are quantified, and deception mechanisms are dynamically layered in alignment with adversary TTPs (Tactics, Techniques, and Procedures). Contribution/Results: We introduce and formally define the *cognitive advantage window*—a temporal and informational interval wherein minor initial advantages can be amplified into sustained strategic superiority. Experiments demonstrate that optimal-timing deception deployment not only flips the sign of the attacker’s utility but also reduces their cumulative payoff by over 40%, significantly enhancing critical asset protection and improving defensive resource efficiency.

Technology Category

• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Game Theory and Economic Paradigms: Adversarial Learning
• Multiagent Systems: Adversarial Agents

Application Category

• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Security and Privacy: Cyber-crime defenses and forensics
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

Cognitive vulnerabilities shape human decision-making and arise primarily from two sources: (1) cognitive capabilities, which include disparities in knowledge, education, expertise, or access to information, and (2) cognitive biases, such as rational inattention, confirmation bias, and base rate neglect, which influence how individuals perceive and process information. Exploiting these vulnerabilities allows an entity with superior cognitive awareness to gain a strategic advantage, a concept referred to as cognitive arbitrage. This paper investigates how to exploit the cognitive vulnerabilities of Advanced Persistent Threat (APT) attackers and proposes cognition-aware defenses that leverage windows of superiority to counteract attacks. Specifically, the proposed bi-level cyber warfare game focuses on "strategic-level" design for defensive deception mechanisms, which then facilitates "operational-level" actions and tactical-level execution of Tactics, Techniques, and Procedures (TTPs). Game-theoretic reasoning and analysis play a significant role in the cross-echelon quantitative modeling and design of cognitive arbitrage strategies. Our numerical results demonstrate that although the defender's initial advantage diminishes over time, strategically timed and deployed deception techniques can turn a negative value for the attacker into a positive one during the planning phase, and achieve at least a 40% improvement in total rewards during execution. This demonstrates that the defender can amplify even small initial advantages, sustain a strategic edge over the attacker, and secure long-term objectives, such as protecting critical assets throughout the attacker's lifecycle.

Problem

• Exploiting cognitive vulnerabilities of APT attackers
• Designing bi-level cyber deception for strategic defense
• Leveraging game theory for cognitive arbitrage planning

Innovation

• Bi-level game-theoretic planning for cyber deception
• Exploiting cognitive vulnerabilities via strategic deception mechanisms
• Leveraging timed deception to amplify defender advantages