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Machine Learning in Cyber-Security - Problems, Challenges and Data Sets - 2018

Machine Learning In Cyber-Security - Problems, Challenges And Data Sets

Research Paper on Machine Learning In Cyber-Security - Problems, Challenges And Data Sets

Research Area:  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.

Keywords:  
Cyber-Security
Machine Learning
Deep Learning

Author(s) Name:  Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger

Journal name:  Machine Learning

Conferrence name:  

Publisher name:  arXiv:1812.07858

DOI:   https://doi.org/10.48550/arXiv.1812.0785

Volume Information: