On the Security of Machine Learning in Malware C&C Detection: A Survey

@article{Gardiner2016OnTS,
  title={On the Security of Machine Learning in Malware C&C Detection: A Survey},
  author={Joseph Gardiner and Shishir Nagaraja},
  journal={ACM Comput. Surv.},
  year={2016},
  volume={49},
  pages={59:1-59:39}
}
One of the main challenges in security today is defending against malware attacks. As trends and anecdotal evidence show, preventing these attacks, regardless of their indiscriminate or targeted nature, has proven difficult: intrusions happen and devices get compromised, even at security-conscious organizations. As a consequence, an alternative line of work has focused on detecting and disrupting the individual steps that follow an initial compromise and are essential for the successful… CONTINUE READING
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