Eigenviruses for metamorphic virus recognition
作者： M.E. Saleh , A.B. Mohamed , A.A. Nabi
DOI: 10.1049/IET-IFS.2010.0136
关键词:
摘要: Metamorphic virus recognition is the most challenging task for antivirus software, because such viruses are hardest to detect as they change their appearance and structure on each new infection. In this study, authors present an effective system metamorphic based statistical machine learning techniques. The approach has successfully scored high detection rate tested classes very low false-positive errors. also able learn patterns of future recognition. conclude results simulation with analysis enhancements in other classes.
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