On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for malware clustering and classification that report high accuracy suggests that this problem may largely be solved. In this p...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2010
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Online Access: | https://ink.library.smu.edu.sg/sis_research/1319 https://ink.library.smu.edu.sg/context/sis_research/article/2318/viewcontent/1439313b3296c24da7869145991e73fe3b81.pdf |
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Institution: | Singapore Management University |
Language: | English |
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