One of the early goals of artificial intelligence (AI) was to create algorithms that exhibited
behavior indistinguishable from human behavior (ie, human-like behavior). Today, AI has …

Three technical problems should be solved urgently in cyberspace security: the timeliness
and accuracy of network attack detection, the credibility assessment and prediction of the …

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 …

Due to the increase in cyber threats and the dynamic nature of cyber attacks, it is important
to use adaptive strategies to decide when and where to deploy the defense resources and …

Introduction Generative Artificial Intelligence has made significant impacts in many fields,
including computational cognitive modeling of decision making, although these applications …

Despite extensive research on phishing, a severe lack of work centered on attackers has
resulted in a limited understanding of the adversarial behaviors conducive to attack success …

Companies of all sizes in today's linked digital world are susceptible to cyber dangers. In this
study, we provide a novel approach to cyber defence that integrates machine learning with …

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

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

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 …