Improvement of malware detection and classification using API call sequence alignment and visualization

Volume: 22, Issue: S1, Pages: 921 - 929
Published: Sep 12, 2017
Abstract
Conventional malware detection technologies have the limitation to detect malware because recent malware uses a variety of the avoidance techniques such as obfuscation, packing, anti-virtualization, anti-emulation, encapsulation technology in order to evade the detection of malware. To overcome this limitation, it is necessary to obtain new detection technology which is able to quickly analyze massive malware and its variants, and take the rapid...
Paper Details
Title
Improvement of malware detection and classification using API call sequence alignment and visualization
Published Date
Sep 12, 2017
Volume
22
Issue
S1
Pages
921 - 929
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