In recent years, the perpetrators of cyber-attacks have been playing a dynamic cat and
mouse game with cybersecurity analysts who try to trace the attack and reconstruct the …

Cyber threat intelligence on past attacks may help with attack reconstruction and the
prediction of the course of an ongoing attack by providing deeper understanding of the tools …

Cyber attacks are becoming more sophisticated and diverse, making attack detection
increasingly challenging. To combat these attacks, security practitioners actively summarize …

Leveraging knowledge graph techniques to detect and analyze cyber attacks is a promising
research direction at the interface between the semantic web and security research …

In order to understand the security level of an organization network, detection methods are
important to tackle the probable risks of the attackers' malicious activities. Intrusion detection …

Attack graphs are one of the main techniques used to automate the cybersecurity risk
assessment process. In order to derive a relevant attack graph, up-to-date information on …

Cyber security assessment is an essential activity for understanding the security risks in an
enterprise environment. While many tools have been developed in order to evaluate the …

Attack graphs are one of the main techniques used to automate the risk assessment
process. In order to derive a relevant attack graph, up-to-date information on known attack …

Existing alert correlation methods do not consider the unsuccessful paths and true negative
alerts of IDS, which affects the completeness and visualization of attack restoring. To …

As cyber threats continue to grow and expertise resources are limited, organisations need to
find ways to evaluate their resilience efficiently and take proactive measures against an …