In this article, we provide an introduction to simulation for cybersecurity and focus on three
themes:(1) an overview of the cybersecurity domain;(2) a summary of notable simulation …

Cyber security adversaries and engagements are ubiquitous and ceaseless. We delineate
Adversarial Genetic Programming for Cyber Security, a research topic that, by means of …

Security in the Internet of Things (IoT) remains a predominant area of concern. Although
several other surveys have been published on this topic in recent years, the broad spectrum …

Active Directory (AD) is the default security management system for Windows domain
networks. We study a Stackelberg game model between one attacker and one defender on …

Active Directory (AD) is the default security management system for Windows domain
networks. An AD environment can be described as a cyber-attack graph, with nodes …

Definition In response to the increasing complexity and sophistication of cyber threats,
particularly those enhanced by advancements in artificial intelligence, traditional security …

With the burgeoning advancements of computing and network communication technologies,
network infrastructures and their application environments have become increasingly …

Network segmentation of a power grid's communication system can make the grid more
resilient to cyberattacks. We develop a novel trilevel programming model to optimally …

Abstract Adversarial Evolutionary Learning (AEL) is concerned with competing adversaries
that are adapting over time. This competition can be defined as a minimization …

It is difficult to assess the business impact of a cyberattack and implement appropriate
strategies or policies to enhance cyber resilience and counter future attacks. Penetration …