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 …

Cyberspace is full of uncertainty in terms of advanced and sophisticated cyber threats that
are equipped with novel approaches to learn the system and propagate themselves, such as …

Abstract Hidden Markov Models have been extensively used for determining computer
systems under a Multi-Stage Network Attack (MSA), however, acquisition of optimal model …

Network security situation awareness (NSSA) is an integral part of cybersecurity defense,
and it is essential for cybersecurity managers to respond to increasingly sophisticated cyber …

Predictive analysis allows next-generation cyber defense that is more proactive than current
approaches based on intrusion detection. In this paper, we discuss various aspects of …

Intrusion Detection Systems (IDSs) automatically analyze event logs and network traffic in
order to detect malicious activity and policy violations. Because IDSs have a large number of …

Cyber situational awareness is an essential part of cyber defense that allows the
cybersecurity operators to cope with the complexity of today's networks and threat …

This article mainly studied the performance of different neural networks in the processing
network security situation prediction (NSSP). Radial basis function (RBF) and back …

The usage of new and progressive technologies brings with it new types of security threats
and security incidents. Their number is constantly growing. The current trend is to move from …

Nowadays, systems around the world face many cyber attacks every day. These attacks
consist of numerous steps that may occur over an extended period of time. We can learn …