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Using deep learning to solve computer security challenges:a survey 被引量:1
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作者 Yoon-Ho Choi Peng Liu +5 位作者 Zitong Shang Haizhou Wang Zhilong Wang Lan Zhang Junwei Zhou Qingtian Zou 《Cybersecurity》 CSCD 2020年第1期203-234,共32页
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... 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 fuzzing for software security. 展开更多
关键词 Deep learning security-oriented program analysis Return-oriented programming attacks Control-flow integrity Network attacks Malware classification System-event-based anomaly detection Memory forensics Fuzzing for software security
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Using deep learning to solve computer security challenges:a survey
2
作者 Yoon-Ho Choi Peng Liu +5 位作者 Zitong Shang Haizhou Wang Zhilong Wang Lan Zhang Junwei Zhou Qingtian Zou 《Cybersecurity》 2018年第1期815-846,共32页
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... 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 fuzzing for software security. 展开更多
关键词 Deep learning security-oriented program analysis Return-oriented programming attacks Control-flow integrity Network attacks Malware classification System-event-based anomaly detection Memory forensics Fuzzing for software security
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