Introduction to the Minitrack on Machine Learning and Cyber Threat Intelligence and Analytics
Ali Dehghantanha, Glenn B. Dietrich, Kim‐Kwang Raymond Choo · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2021
Cyber threat intelligence and analytical solutions, such as those leveraging machine learning techniques, can help organizations to perceive, reason, learn and defend against sophisticated cyber attackers or advanced persistent threat actors (e.g., nation states), as well as facilitating the collection, preservation and analysis of evidence (also referred to as cyber / digital forensics) that may then be used to identify and prosecute the perpetrators.However, given the dynamic nature of the cyberthreat landscape, it is important to keep pace and design innovative solutions to mitigate the evolving threats.This is the focus of the 'Machine Learning and Cyber Threat Intelligence and Analytics' mini-track.In this introduction article, we will describe the three accepted papers contributed by researchers from