This paper provides a survey of prediction, and forecasting methods used in cyber security.
Four main tasks are discussed first, attack projection and intention recognition, in which …

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 …

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 …

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 …

Deep Learning has been very successful in many application domains. However, its
usefulness in the context of network intrusion detection has not been systematically …

In cyberspace, evolutionary strategies are commonly used by both attackers and defenders.
For example, an attacker's strategy often changes over the course of time, as new …

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

abstract Internet-based computer information systems play critical roles in many aspects of
modern society. However, these systems are constantly under cyber attacks that can cause …

Predicting cyber attack preference of intruders is essential for security organizations to
demystify attack intents and proactively handle oncoming cyber threats. In order to …