Abstract
One emerging research focus is cyber threat intelligence and analytics, which seeks to integrate and deploy different computing techniques such as big data analytics, sentiment analysis, artificial intelligence (e.g. machine learning) to perceive, reason, learn and defend against advanced cyber attacks or advanced persistent threats, as well as facilitating the collection, preservation and analysis of evidence that may then be used to identify and prosecute the perpetrators. This is the focus of the 'Machine Learning and Cyber Threat Intelligence and Analytics' mini-track, and in this introduction article, we will describe the eight papers accepted in this mini-track.
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CITATION STYLE
Choo, K. K. R., & Dehghantanha, A. (2020). Introduction to the minitrack on machine learning and cyber threat intelligence and analytics, HICSS 2020. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2020-January, pp. 6436–6437). IEEE Computer Society.
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