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 …

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 …

Previous works in the area of network security have emphasized the creation of intrusion
detection systems (IDSs) to flag malicious network traffic and computer usage, and the …

Cyber attacks occur on a near daily basis and are becoming exponentially more common.
While some research aims to detect the characteristics of an attack, little focus has been …

This paper presents the current state of the art on attack and defense modeling approaches
that are based on directed acyclic graphs (DAGs). DAGs allow for a hierarchical …

Attack graphs are a powerful tool for security risk assessment by analysing network
vulnerabilities and the paths attackers can use to compromise network resources. The …

Recently, as damage caused by Internet threats has increased significantly, one of the major
challenges is to accurately predict the period and severity of threats. In this study, a novel …

In this paper we introduce pwnPr3d, a probabilistic threat modeling approach for automatic
attack graph generation based on network modeling. The aim is to provide stakeholders in …

Abstract—Most of the current research in security analysis has been centered on
identifying threats and vulnerabilities and providing suitable defense mechanisms to …

The paper suggests a framework for cyber attack modeling and impact assessment. It is
supposed that the common approach to attack modeling and impact assessment is based …