Improving intrusion detectors by crook-sourcing

@article{Ayoade2019ImprovingID,
  title={Improving intrusion detectors by crook-sourcing},
  author={Gbadebo Ayoade and Khaled Al-Naami and Y. Gao and Kevin W. Hamlen and Latifur Khan},
  journal={Proceedings of the 35th Annual Computer Security Applications Conference},
  year={2019}
}
  • G. Ayoade, K. Al-Naami, L. Khan
  • Published 9 December 2019
  • Computer Science
  • Proceedings of the 35th Annual Computer Security Applications Conference
Conventional cyber defenses typically respond to detected attacks by rejecting them as quickly and decisively as possible; but aborted attacks are missed learning opportunities for intrusion detection. A method of reimagining cyber attacks as free sources of live training data for machine learning-based intrusion detection systems (IDSes) is proposed and evaluated. Rather than aborting attacks against legitimate services, adversarial interactions are selectively prolonged to maximize the… 

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