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arXiv · 1812.07858

Machine Learning in Cyber-Security - Problems, Challenges and Data Sets

Idan Amit·John Matherly·William Hewlett·Zhi Xu·Yinnon Meshi·Yigal Weinberger
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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.

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Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger. 2018-12-19. Machine Learning in Cyber-Security - Problems, Challenges and Data Sets. https://arxiv.org/abs/1812.07858

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