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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 that are highly contributing towards the target class...
The increasing importance of networked control systems makes them inviting targets for cyber attacks. In a virus propagation attack, an adversary attempts to compromise a set of nodes in order to compromise their neighbors via software exploits. When the neighbor of a compromised node has already been compromised by a different virus, a newly-introduced virus can remove, co-exist with, or reinforce...
Since finding and extracting a fixed signature for metamorphic viruses is hard due to the fact that, their shape changes frequently. Virus writers by using obfuscation methods make their viruses undetectable, in order to disable anti viruses to detect them easily, which ends in metamorphic viruses. We used hidden Markov model to propose the Detection Sphere method. We used three elements of a string...
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