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The Ethereal
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
December 19, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger
arXiv ID
1812.07858
Category
cs.LG: Machine Learning
Cross-listed
cs.CR,
stat.ML
Citations
52
Venue
arXiv.org
Last Checked
5 months ago
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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