Automatic generation of HTTP intrusion signatures by selective identification of anomalies

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2015-09-26

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Elsevier BV

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Computer science, Anomaly-based intrusion detection system, Anomaly detection, Intrusion detection system, Signature (topology), Data mining, Anomaly (physics), Payload (computing), Identification (biology), Matching (statistics), Process (computing), Pattern matching

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https://riuat.uat.edu.mx/handle/123456789/2603

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Documentación Cientifica

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