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The sophistication of novel strains of polymorphic viruses, such as Stuxnet, has increased over the last decade. Traditional tools such as anti-virus, firewalls, intrusion detection/prevention systems, etc. may be incapable of detecting such strains. As a result, new methods need to be introduced in order to detect this family of malware. Combining dynamic malware analysis techniques with machine...
Previous research has shown that hidden Markov model (HMM) is a compelling option for malware identification. However, some advanced metamorphic malware have proven to be more challenging to detect with these techniques. In this paper, we separated the importance of the some part of the malware files to train the HMMs aiming at extracting the significant sequences of malware opcodes. These parts have...
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...
Dramatic increase in smartphone sales and third-party applications that users can download has significantly increased the possibility of rootkits and malware targeted for smartphones. This paper discusses the current state of research in detection and mitigation of propagation of malicious code, such as viruses, malware and even rootkits in smartphones. A new strategy is introduced that offers a...
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