Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Machine Learning
2019-04-23 v3 Cryptography and Security
Machine Learning
Abstract
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.
Cite
@article{arxiv.1812.07858,
title = {Machine Learning in Cyber-Security - Problems, Challenges and Data Sets},
author = {Idan Amit and John Matherly and William Hewlett and Zhi Xu and Yinnon Meshi and Yigal Weinberger},
journal= {arXiv preprint arXiv:1812.07858},
year = {2019}
}