On the appropriateness of evolutionary rule learning algorithms for malware detection

@inproceedings{Shafiq2009OnTA,
  title={On the appropriateness of evolutionary rule learning algorithms for malware detection},
  author={Muhammad Zubair Shafiq and S. Momina Tabish and Muddassar Farooq},
  booktitle={GECCO},
  year={2009}
}
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classification problem of detecting malicious executables. The executable dataset, used in this study, consists of 189 attributes which are statically extracted from the executables of Microsoft Windows operating system. In our study, we compare the performance of rule learning algorithms with respect to four metrics: (1… CONTINUE READING

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