Combining file content and file relations for cloud based malware detection

@inproceedings{Ye2011CombiningFC,
  title={Combining file content and file relations for cloud based malware detection},
  author={Yanfang Ye and Tao Li and Shenghuo Zhu and Weiwei Zhuang and Egemen Tas and Umesh Gupta and Melih Abdulhayoglu},
  booktitle={KDD},
  year={2011}
}
Due to their damages to Internet security, malware (such as virus, worms, trojans, spyware, backdoors, and rootkits) detection has caught the attention not only of anti-malware industry but also of researchers for decades. Resting on the analysis of file contents extracted from the file samples, like Application Programming Interface (API) calls, instruction sequences, and binary strings, data mining methods such as Naive Bayes and Support Vector Machines have been used for malware detection… CONTINUE READING
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