Cognitive Cyber Defense and Trust Decision Models

The field of cyber defense is shifting towards incorporating insights from cognitive science and psychology to enhance defensive strategies. Recent research focuses on leveraging cognitive biases and manipulating attacker decision-making to gain a defensive advantage. This approach recognizes that real-world attackers exhibit cognitive constraints and biases that can be systematically triggered to degrade their efficiency. The development of descriptive models and frameworks that integrate moral, epistemic, and virtue-informed perspectives is also underway, aiming to support sound trust decisions amid complexity and misinformation. Noteworthy papers include: GAMBiT, which introduces a cognitive-informed cyber defense framework that manipulates attacker cognitive states to enhance defense. The MEVIR Framework provides a comprehensive model for human trust decisions, integrating virtue epistemology and moral foundations theory to explain trust formation and polarization.

Sources

Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis

The MEVIR Framework: A Virtue-Informed Moral-Epistemic Model of Human Trust Decisions

A Descriptive Model for Modelling Attacker Decision-Making in Cyber-Deception

Built with on top of