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

• 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
• Subjects: Malware detection; Malware behavior modeling; Software Engineering
• 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
• Institution: Singapore Management University

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...