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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Bibliographic Details
Main Authors: LI, Peng, LIU, Limin, GAO, Debin, Reiter, Michael K
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
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