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Malicious Code Detection Using Penalized Splines on OPcode Frequency

Alazab, Mamoun; Kadiri, Mohammad; Venkatraman, S; Al-Nemrat, A

Description

Recently, malicious software are gaining exponential growth due to the innumerable obfuscations of extended x86 IA-32 (OPcodes) that are being employed to evade from traditional detection methods. In this paper, we design a novel distinguisher to separate

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/81310
Source: Proceedings - 2012 3rd Cybercrime and Trustworthy Computing Workshop, CTC 2012
DOI: 10.1109/CTC.2012.15

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