A Review of Recent Advances in Machine Learning Approaches for Cyber Defense
Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl · 2021 IEEE International Conference on Big Data (Big Data) · 2021
In this paper, a literature review of recent advances in machine learning approaches for cyber defense is presented. Relevant articles in the databases ACM DL, IEEE Xplore DL, and ScienceDirect were identified and supplemented by forward and backward searches. In total, 70 articles were identified to meet the scope of the literature review. The following article gives an overview of classifications, datasets, and algorithms of machine learning in cyber defense. Limitations and future research areas are identified.