ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Inoculation against malware infection using kernel-level software sensors
Proceedings of the 8th ACM international conference on Autonomic computing
A comparative study of malware family classification
ICICS'12 Proceedings of the 14th international conference on Information and Communications Security
Review: Classification of malware based on integrated static and dynamic features
Journal of Network and Computer Applications
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Computer viruses have become the main threat of the safety and security of industry. Unfortunately, no mature products of anti-virus can protect computers effectively. This paper presents an approach of virus detection which is based on analysis and distilling of representative behavior characteristic and systemic description of the suspicious behaviors indicated by the sequences of APIs which called under Windows. Based on decompilation analysis, according to the determinant of Bayes Algorithm, and by the validation of abundant sample space, the technique implements the virus detection by suspicious behavior identification.