Classification of malware based on integrated static and dynamic features

Rafiqul Islam; Ronghua Tian; Lynn Batten; Steve Versteeg

doi:10.1016/j.jnca.2012.10.004

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JOURNAL ARTICLE

Classification of malware based on integrated static and dynamic features

Rafiqul Islam Ronghua Tian Lynn Batten Steve Versteeg

Year: 2012 Journal: Journal of Network and Computer Applications Vol: 36 (2)Pages: 646-656 Publisher: Elsevier BV

DOI: 10.1016/j.jnca.2012.10.004

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Keywords:

Computer science Malware Robustness (evolution) Static analysis Data mining Malware analysis Set (abstract data type) Machine learning Artificial intelligence Operating system Programming language

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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 Engineering Research

Physical Sciences → Computer Science → Information Systems

Classification of malware based on integrated static and dynamic features

Metrics

Citation History

Topics

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