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A Bayesian paradigm for designing intrusion detection systems

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  • Scott, Steven L.

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  • Scott, Steven L., 2004. "A Bayesian paradigm for designing intrusion detection systems," Computational Statistics & Data Analysis, Elsevier, vol. 45(1), pages 69-83, February.
    • Handle: RePEc:eee:csdana:v:45:y:2004:i:1:p:69-83
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    References listed on IDEAS

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    1. Mark E. Glickman, 1999. "Parameter Estimation in Large Dynamic Paired Comparison Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(3), pages 377-394.
    2. D. J. Spiegelhalter, 1999. "Surgical audit: statistical lessons from Nightingale and Codman," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 45-58.
    3. Scott S. L., 2002. "Bayesian Methods for Hidden Markov Models: Recursive Computing in the 21st Century," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 337-351, March.
    4. Lambert D. & Pinheiro J. C & Sun D. X, 2001. "Estimating Millions of Dynamic Timing Patterns in Real Time," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 316-330, March.
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