This work is an initial step toward developing a cognitive theory of cyber deception. While
widely studied, the psychology of deception has largely focused on physical cues of …

Masking strategies for cyberdefense (ie, disguising network attributes to hide the real state of
the network) are predicted to be effective in simulated experiments. However, it is unclear …

Instance-based learning theory (IBLT) is a comprehensive account of how humans make
decisions from experience during dynamic tasks. Since it was first proposed almost two …

Achieving a level of dynamic and adaptive autonomy in cyber defense is highly desirable to
advance the capabilities of cyber defense to a whole new level of effectiveness. In such a …

Many models in Cognitive Science require data to calibrate parameters. Some modelers
calibrate their models' parameters for each individual in a data set, and others work at the …

Recent works have growingly shown that Cyber deception can effectively impede the
reconnaissance efforts of intelligent cyber attackers. Recently proposed models to optimize …

One of the widely used cyber deception techniques is decoying, where defenders create
fictitious machines (ie, honeypots) to lure attackers. Honeypots are deployed to entice …

Computational cognitive modeling is a useful methodology to explore and validate theories
of human cognitive processes. Often cognitive models are used to simulate the process by …

Humans make decisions in dynamic environments (increasingly complex, highly uncertain,
and changing situations) by searching for potential alternatives sequentially over time, to …

Understanding a cyber attacker's behavior can help improve cyber defenses. However,
currently, there are no substantial publicly available datasets to learn about attackers' …