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

Authors: Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger
Published: 2018-12-19 | Updated: 2019-04-22

Source: https://arxiv.org/abs/1812.07858

PDF: https://arxiv.org/pdf/1812.07858

AIにより推定されたラベル

データ収集 情報セキュリティ マルウェア検出手法

※ こちらのラベルはAIによって自動的に追加されました。そのため、正確でないことがあります。
詳細は文献データベースについてをご覧ください。

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.