Embedded Malware Detection Using Markov n-Grams

  title={Embedded Malware Detection Using Markov n-Grams},
  author={Muhammad Zubair Shafiq and Syed Ali Khayam and Muddassar Farooq},
Embedded malware is a recently discovered security threat that allows malcode to be hidden inside a benign file. It has been shown that embedded malware is not detected by commercial antivirus software even when the malware signature is present in the antivirus database. In this paper, we present a novel anomaly detection scheme to detect embedded malware. We first analyze byte sequences in benign files to show that benign files’ data generally exhibit a 1-st order dependence structure… CONTINUE READING
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