Recent research in cybersecurity has begun to develop active defense strategies using
game‐theoretic optimization of the allocation of limited defenses combined with deceptive …

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 …

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 …

Abstract Stackelberg Games (SGs) assume the perfect rationality of players. However, in
real-life situations modeled by SGs, the followers may act not perfectly rationally, as their …

Cybersecurity stands to benefit greatly from models able to generate predictions of attacker
and defender behavior. On the defender side, there is promising research suggesting that …

Deceptive defense techniques (eg, intrusion detection, firewalls, honeypots, honeynets) are
commonly used to prevent cyberattacks. However, most current defense techniques are …

This chapter presents an overview of the use of cognitive models for personalized adaptive
signaling for cyber deception. It provides a general introduction to cognitive modeling …

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

Designing cyber defense systems to account for cognitive biases in human decision making
has demonstrated significant success in improving performance against human attackers …

Deceptive signaling has proven an effective method that can aid security analysists and
deter attacks on unprotected targets by strategically revealing information to an attacker …