San Jose State University

Displaying 1 - 3 of 3 results

  • Structural Entropy and Metamorphic Malware

    White Papers // Dec 2012 // provided by San Jose State University

    "Metamorphic malware is capable of changing its internal structure without altering its functionality. A common signature is nonexistent in highly metamorphic malware and, consequently, such malware can remain undetected under signature scanning. In this paper, the authors apply previous paper on structural entropy to the metamorphic detection problem. This technique ...

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  • Chi-Squared Distance and Metamorphic Virus Detection

    White Papers // Aug 2012 // provided by San Jose State University

    "Metamorphic malware changes its internal structure with each generation, while maintaining its original behavior. Current commercial antivirus software generally scans for known malware signatures; therefore, they are not able to detect metamorphic malware that sufficiently morphs its internal structure. Machine learning methods such as Hidden Markov Models (HMMs) have shown ...

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  • Detecting Undetectable Metamorphic Viruses

    White Papers // May 2011 // provided by San Jose State University

    "Signature-based detection provides a relatively simple and efficient method for detecting known viruses. At present, most antivirus systems rely primarily on signature detection. Metamorphic viruses are potentially one of the most difficult types of viruses to detect. Such viruses change their internal structure, which provides an effective means of avoiding ...

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