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- W202204128 abstract "This paper presents WebIDS, a learning-based anomaly detection system for Web applications aiming at improving the decision process, reducing the number of false positives, and achieving distributed detection.KeywordsAnomaly detectionCorrelationWeb application" @default.
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- W202204128 date "2008-09-17" @default.
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- W202204128 title "WebIDS: A Cooperative Bayesian Anomaly-Based Intrusion Detection System for Web Applications (Extended Abstract)" @default.
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- W202204128 doi "https://doi.org/10.1007/978-3-540-87403-4_22" @default.
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