On Challenges in Evaluating Malware Clustering

• Main Authors: LI, Peng, LIU, Limin, GAO, Debin, Reiter, Michael K
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: malware clustering and classification; plagiarism detection; Information Security
• 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
• Institution: Singapore Management University

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...