Adversarial Cognitive Engineering (ACE) and Defensive Cybersecurity: Leveraging Attacker Decision-Making Heuristics in a Cybersecurity Task
Adversarial Cognitive Engineering (ACE) and Defensive Cybersecurity: Leveraging Attacker Decision-Making Heuristics in a Cybersecurity Task
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Date
2024-01-03
Authors
Johnson, Chelsea
Van Tassel, Richard W.
Shade, Temmie
Rogers, Andrew
Ferguson-Walter, Kimberly
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974
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Abstract
The role of cyberspace continues to expand, touching nearly every aspect in our lives. Critical information, when stolen, can be devastating to a nation’s people, economy, and security. To defend against this threat, it is essential to understand the human behind the attack. A first step in developing new defenses where human attackers are involved is obtaining valid and reliable human performance and decision-making data. These data can be procured through rigorous human science research that experimentally evaluates foundational theory and measures human performance. Taking the key concepts from behavioral economics, the game-based testbed, CYPHER, was specifically designed to test the occurrence of the Sunk Cost Fallacy across multiple decisions in an abstract cyber environment. Evaluating decisions made over a series of actions to catch a fictitious cyber thief, we analyze the effects of two antecedents (uncertainty and project completion) and resource expenditure. Our results show that irrespective of condition, significantly more participants unnecessarily wasted resources, demonstrating behavior consistent with the Sunk Cost Fallacy. These data provide a baseline upon which to build artificial intelligence algorithms for automated cyber defense.
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Cyber Deception and Cyberpsychology for Defense,
cognitive engineering,
cybersecurity,
decision-making heuristics,
sunk cost fallacy
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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