Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Security metrics have received significant attention. However, they have not been
systematically explored based on the understanding of attack-defense interactions, which …

Analyzing cyber incident data sets is an important method for deepening our understanding
of the evolution of the threat situation. This is a relatively new research topic, and many …

Various system metrics have been proposed for measuring the quality of computer-based
systems, such as dependability and security metrics for estimating their performance and …

It is important to understand to what extent, and in what perspectives, cyber attacks can be
predicted. Despite its evident importance, this problem was not investigated until very …

Although the security of Cyber-Physical Systems (CPS) has been recently receiving
significant attention from the research community, undoubtedly, there still exists a substantial …

Data breach is a major cybersecurity problem that has caused huge financial losses and
compromised many individuals' privacy (eg, social security numbers). This calls for deeper …

Modeling cybersecurity risks is an important, yet challenging, problem. In this paper, we
initiate the study of modeling multivariate cybersecurity risks. We develop the first statistical …

Cybersecurity Dynamics is new concept that aims to achieve the modeling, analysis,
quantification, and management of cybersecurity from a holistic perspective, rather than from …

The Cybersecurity Dynamics framework offers an approach to systematically understanding,
characterizing, quantifying and managing cybersecurity from a holistic perspective. The …