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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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/98910 http://hdl.handle.net/10220/12587 |
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| Institution: | Nanyang Technological University |
| Language: | English |