Jithu Raphel

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The proposed non-signature based system creates a meta feature space for the detection of metamorphic malware samples where three sets of features are extracted from the files: (a) branch opcodes (b) unigrams (c) bigrams. The feature space is initially pruned using Naïve Bayes method. After the rare feature elimination process, the relevant opcodes(More)
Malware authors make use of some anti-reverse engineering and obfuscation techniques like packing and encoding in-order to conceal their malicious payload. These techniques succeeded in evading the traditional signature based AV scanners. Packed or encoded malware samples are difficult to be analysed directly by the AV scanners. So, such samples must be(More)
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