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

Mahinthan Chandramohan; Hee Beng Kuan Tan; Lionel Briand; Lwin Khin Shar; Bindu Madhavi Padmanabhuni

doi:10.1109/ase.2013.6693090

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

Mahinthan Chandramohan Hee Beng Kuan Tan Lionel Briand Lwin Khin Shar Bindu Madhavi Padmanabhuni

Year: 2013 Pages: 312-322

DOI: 10.1109/ase.2013.6693090

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Abstract

peer reviewed

Keywords:

Malware Computer science Scalability Feature (linguistics) Machine learning System call Software Bounded function Artificial intelligence Malware analysis Data mining Computer security Operating system Mathematics

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2.07

FWCI (Field Weighted Citation Impact)

Refs

0.89

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Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Software Testing and Debugging Techniques

Physical Sciences → Computer Science → Software

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

Abstract

Metrics

Citation History

Topics

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