MITRE ATT&CK is a comprehensive framework of adversary tactics, techniques and
procedures based on real-world observations. It has been used as a foundation for threat …

The MITRE ATT&CK framework, a comprehensive knowledge base of adversary tactics and
techniques, has been widely adopted by the cybersecurity industry as well as by academic …

With a rapid increase in Cyber-attacks, Threat hunters such as Cyber Threat Intelligence
(CTI) and their teams requires to analyze different techniques being employed by …

A significant robustness gap exists between machine intelligence and human perception
despite recent advances in deep learning. Deep learning is not provably secure. A critical …

Abstract Large-scale Information and Communications Technology (ICT) systems give rise
to difficult situations such as handling cascading failures and detecting complex malicious …

Cyber attacks keep states, companies and individuals at bay, draining precious resources
including time, money, and reputation. Attackers thereby seem to have a first mover …

Artificial Intelligence (AI) and Machine Learning (ML) algorithms can support the span of
indicator-level, eg anomaly detection, to behavioral level cyber security modeling and …

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 …

Cross-linked threat, vulnerability, and defensive mitigation knowledge is critical in defending
against diverse and dynamic cyber threats. Cyber analysts consult it by deductively or …

Context: Cybersecurity vendors often publish cyber threat intelligence (CTI) reports, referring
to the written artifacts on technical and forensic analysis of the techniques used by the …