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: LI, Peng, LIU, Limin, GAO, Debin, Reiter, Michael K
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2010
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在線閱讀: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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機構: Singapore Management University
語言: English