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
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/4782
https://ink.library.smu.edu.sg/context/sis_research/article/5785/viewcontent/Scalable_Malware_Clustering_through_Coarse_FSE12.pdf
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Institution: Singapore Management University
Language: English