Issue No. 04 - July/August (2007 vol. 5)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MSP.2007.92
William H. Allen , Florida Institute of Technology
Testing and validating new anomaly-based intrusion detection techniques requires a record of typical (that is, normal) behaviors for use in constructing statistical models, training learning-based systems, or creating rules that describe acceptable actions.
intrusion detection systems, IDS, testing, attack data
William H. Allen, "Mixing Wheat with the Chaff: Creating Useful Test Data for IDS Evaluation", IEEE Security & Privacy, vol. 5, no. , pp. 65-67, July/August 2007, doi:10.1109/MSP.2007.92