Targeting malware discrimination based on reversed association task-Reference-Cited by-同舟云学术

Targeting malware discrimination based on reversed association task

Published:2018-09-19 Issue:23 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Han Lansheng¹^ORCID,Zhou Man¹,Han Shuxia²,Jia Wenjing³,Sun Changhua¹,Fu Cai¹

Affiliation:

1. The School of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan China

2. The School of Mathematics and StatisticsHuazhong University of Science and Technology Wuhan China

3. Faculty of Engineering and ITUniversity of Technology Sydney Sydney Australia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4922

Reference34 articles.

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3. LiX‐Y LiuW‐W.Malicious code detection with integrated behavior analysis. Paper presented at: 2009 International Conference on Machine Learning and Cybernetics;2009;Hebei China.

4. KirdaE KruegelC BanksG VignaG KemmererR.Behavior‐based spyware detection. In: Proceedings of the 15th USENIX Security Symposium;2006;Vancouver Canada.

5. ChristodorescuM JhaS SeshiaSA SongD BryantRE Semantics‐aware malware detection. In: Proceedings of the 2005 IEEE Symposium on Security and Privacy;2005;Oakland CA.

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