Scalable malware clustering through coarse-grained behavior modeling

Anti-malware vendors receive several thousand new malware (malicious software) variants per day. Due to large volume of malware samples, it has become extremely important to group them based on their malicious characteristics. Grouping of malware variants that exhibit similar behavior helps to gener...

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Bibliographic Details
Main Authors: Chandramohan, Mahinthan, Tan, Hee Beng Kuan, Shar, Lwin Khin
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/98910
http://hdl.handle.net/10220/12587
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Institution: Nanyang Technological University
Language: English