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 …

We propose that cognitive models will help advance autonomous cyber defense. Congitive
models, in contrast to many other sophisticated approaches, such as machine learning …

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 …

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 …

In this work, we report on the results of recruiting anonymous (yet qualified) participants from
Prolific, a crowdsourcing platform, to engage in hacking experiments that involve defensive …

To support the future cyber battlefield, many technological advances are required in the
proposed architecture of autonomous intelligent cyber defense agents (AICA). In particular …

During the past decade, researchers of behavioral cyber security have created cognitive
agents that are able to learn and make decisions in dynamic environments in ways that …

A significant factor that drives the investment in/integration of a cyber defense technique is
its proven effectiveness, in terms of performance, usability, and security, against an intended …