A scalable approach for malware detection through bounded feature space behavior modeling

In recent years, malware (malicious software) has greatly evolved and has become very sophisticated. The evolution of malware makes it difficult to detect using traditional signature-based malware detectors. Thus, researchers have proposed various behavior-based malware detection techniques to mitig...

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Bibliographic Details
Main Authors: CHANDRAMOHAN, Mahinthan, TAN, Hee Beng Kuan, BRIAND, Lionel C, SHAR, Lwin Khin, PADMANABHUNI, Bindu Madhavi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/4780
https://ink.library.smu.edu.sg/context/sis_research/article/5783/viewcontent/A_Scalable_Approach_for_Malware_Detection_ASE13.pdf
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Institution: Singapore Management University
Language: English

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