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Securing Collaborative Intrusion Detection Systems
November/December 2011 (vol. 9 no. 6)
pp. 36-42
Steven Cheung, SRI International
One threat to collaborative intrusion detection systems (CIDSs) is statistic-poisoning attacks. In these attacks, adversaries inject incorrect security sensor reports to the system's repository to corrupt the published attack statistics. A novel, robust approach to computing attack statistics published by CIDSs can help counter this threat. This approach is based on contributor-level aggregation and preferential voting. In experiments, this approach effectively detected large-scale attacks and was more resistant to attacks than the basic approach.

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Index Terms:
intrusion detection, alert correlation, attack tolerance, preferential voting, network security, computer security, cybersecurity,collaborative intrusion detection systems
Citation:
Steven Cheung, "Securing Collaborative Intrusion Detection Systems," IEEE Security & Privacy, vol. 9, no. 6, pp. 36-42, Nov.-Dec. 2011, doi:10.1109/MSP.2011.97
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