Using deep learning to solve computer security challenges: a survey

Author:

Choi Yoon-Ho,Liu Peng,Shang Zitong,Wang Haizhou,Wang Zhilong,Zhang Lan,Zhou Junwei,Zou Qingtian

Abstract

AbstractAlthough using machine learning techniques to solve computer security challenges is not a new idea, the rapidly emerging Deep Learning technology has recently triggered a substantial amount of interests in the computer security community. This paper seeks to provide a dedicated review of the very recent research works on using Deep Learning techniques to solve computer security challenges. In particular, the review covers eight computer security problems being solved by applications of Deep Learning: security-oriented program analysis, defending return-oriented programming (ROP) attacks, achieving control-flow integrity (CFI), defending network attacks, malware classification, system-event-based anomaly detection, memory forensics, and fuzzing for software security.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Information Systems,Software

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