Malware detection method based on the control‐flow construct feature of software
Author:
Affiliation:
1. College of Computer ScienceSichuan UniversityChengduPeople's Republic of China
2. School of Computer Science and TechnologyHenan Polytechnic UniversityJiaozuoPeople's Republic of China
Funder
National Natural Science Foundation of China
Program for New Century Excellent Talents in University
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Networks and Communications,Information Systems,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ifs.2012.0289
Reference22 articles.
1. Deng P.S. Wang J.H. Shieh W.G. Yen C.P. Tung C.T.: ‘Intelligent automatic malicious code signatures extraction’.Proc. IEEE 37th Annual 2003 Int. Carnahan Conf. 2003 pp.600–603
2. Behavioral detection of malware: from a survey towards an established taxonomy;Jacob G.;J. Comput. Virol.,2008
3. Kephart J.O. Arnold W.C.: ‘Automatic extraction of computer virus signatures’.Proc. Fourth Virus Bulletin Int. Conf. 1994 pp.178–184
4. Detection of malicious code by applying machine learning classifiers on static features: a state‐of‐the‐art survey;Shabtai A.;Inf. Sec. Tech. Rep.,2009
5. Opcodes as predictor for malware
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