A Scalable Malware Classification Based on Integrated Static and Dynamic Features

Tewfik Bounouh; Zakaria Brahimi; Ameer Al-Nemrat; Chafika Benzaïd

doi:10.1007/978-3-319-51064-4_10

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A Scalable Malware Classification Based on Integrated Static and Dynamic Features

Tewfik Bounouh Zakaria Brahimi Ameer Al-Nemrat Chafika Benzaïd

Year: 2016 Communications in computer and information science Pages: 113-124 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-51064-4_10

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Keywords:

Malware Scalability Computer science Evasion (ethics) Feature (linguistics) Data mining Machine learning Artificial intelligence Computer security Database

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Topics

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Software Testing and Debugging Techniques

Physical Sciences → Computer Science → Software

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

A Scalable Malware Classification Based on Integrated Static and Dynamic Features

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