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Abstract:
Machine learning or data mining method can identify new or unknown malicious executables with some degree of success. Feature selection is a key to applying data mining or machine learning to detect malicious executables. In order to improve detecting accuracy, a new method of extracting most representative features is purposed. The new classifier based on strings achieves has high detection rates and can be expected to perform well in real-world conditions.
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Journal of Beijing University of Technology
ISSN: 0254-0037
Year: 2009
Issue: 12
Volume: 35
Page: 1703-1709
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
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