Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Idan Amit, John Matherly, William A. Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger · arXiv (Cornell University) · 2018
We present cyber-security problems of high importance. We show that in order to solve these cyber-security problems, one must cope with certain machine learning challenges. We provide novel data sets representing the problems in order to enable the academic community to investigate the problems and suggest methods to cope with the challenges. We also present a method to generate labels via pivoting, providing a solution to common problems of lack of labels in cyber-security.