4 papers
Detecting Ambiguity Aversion in Cyberattack Behavior to Inform Cognitive Defense Strategies
Stephan Carney, Soham Hans, Sofia Hirschmann +4
Adversaries (hackers) attempting to infiltrate networks frequently face uncertainty in their operational environments. This research explores the ability to model and detect when t…
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis
Brandon Beltz, Po-Yu Chen, James Doty +16
This paper introduces GAMBiT (Guarding Against Malicious Biased Threats), a cognitive-informed cyber defense framework that leverages deviations from human rationality as a new def…
Risk Psychology & Cyber-Attack Tactics
Rubens Kim, Stephan Carney, Yvonne Fonken +5
We examine whether measured cognitive processes predict cyber-attack behavior. We analyzed data that included psychometric scale responses and labeled attack behaviors from cyberse…
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis
Soham Hans, Nikolos Gurney, Stacy Marsella +1
Understanding and quantifying human cognitive biases from empirical data has long posed a formidable challenge, particularly in cybersecurity, where defending against unknown adver…