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Publications - Software Transformations to Improve Malware Detection

Reference:

Mihai Christodorescu, Johannes Kinder, Somesh Jha, Stefan Katzenbeisser, and Helmut Veith. Software transformations to improve malware detection. Journal in Computer Virology, 3(4):253–265, November 2007.

Abstract:

Malware is code designed for a malicious purpose, such as obtaining root privilege on a host. A malware detector identifies malware and thus prevents it from adversely affecting a host. In order to evade detection, malware writers use various obfuscation techniques to transform their malware. There is strong evidence that commercial malware detectors are susceptible to these evasion tactics. In this paper, we describe the design and implementation of a malware transformer that reverses the obfuscations performed by a malware writer. Our experimental evaluation demonstrates that this malware transformer can drastically improve the detection rates of commercial malware detectors.

Suggested BibTeX entry:

@article{ChristodorescuKinderJhaKatzenbeisserVeith-jicv07,
    author = {Mihai Christodorescu and Johannes Kinder and Somesh Jha and Stefan Katzenbeisser and Helmut Veith},
    journal = {Journal in Computer Virology},
    month = {November},
    number = {4},
    pages = {253--265},
    title = {Software Transformations to Improve Malware Detection},
    volume = {3},
    year = {2007}
}

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