Using deep learning to solve computer security challenges: a survey

• 作者: Haizhou Wang Junwei Zhou Lan Zhang Peng Liu Qingtian Zou Yoon-Ho Choi Zhilong Wang Zitong Shang
• 来源期刊: 网络空间安全科学与技术（英文版）
• 年，卷（期）: 2020,（2）
• 页码范围: 1-32
• 页数: 32页
• 语种: 英文

摘要

Although 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 fu77ing for software security.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Yoon-Ho Choi		1	0	0.0	0.0
2	Peng Liu		1	0	0.0	0.0
3	Zitong Shang		1	0	0.0	0.0
4	Haizhou Wang		1	0	0.0	0.0
5	Zhilong Wang		1	0	0.0	0.0
6	Lan Zhang		1	0	0.0	0.0
7	Junwei Zhou		1	0	0.0	0.0
8	Qingtian Zou		1	0	0.0	0.0