A comparative study of anomaly detection schemes in network intrusion detection.
dcf083a1d2e21e0da98dbad88d51d1b1A Data Mining Framework for Building Intrusion Detection Models.
64680a57e28817ba0bebc198f5b51060A Framework For An Adaptive Intrusion Detection System with Data Mining.
db29d4147342fee62a836a48ed04e248A Framework for Classifying Denial of Service Attacks.
44447f138d49336dcfb6f0acb5284296A Framework for Constructing Features and Models for Intrusion Detection Systems.
6e640b55ae7f51cd3a66d5f8d01a458dA Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data.
9d8c2bd90e6edf496dfa72d8f0106fd9A Learning Based Approach to the Detection of SQL Attacks.
18c874195c5921eaf29ef5dd06e56b95A Multimodel Approach to the Detection of Web-based Attacks.
c4b14c8548593136d524ac6dade6a254ADAM: Detecting Intrusions by Data Mining.
48e61e3928f61a18e119516d365dbe13Adaptive ModelBased Monitoring and Threat Detection.
6960820d76e90acfb07123ded235dcd7Advanced Polymorphic Worms: Evading IDS by Blending with Normal Traffic.
3590541dd2f42d7182e4d09494dcf016An Analysis of 1999 DARPA for Network Anomaly Detection.
2719ee36307dc45274b9e0f0a54ef2b6Anagram: A Content Anomaly Detector Resistant to Mimicry Attack.
3a848bb307414f7bd29bb7c1729f2ffdArtificial Neural Networks for Misuse Detection.
fceeba6f1335d679ea92c0cc2b20d5dcAnomalous Payloadbased Network Intrusion Detection.
a2dc4b90cea63a81c3f26583149b086dAnomalous Payloadbased Worm Detection and Signature Generation.
fa3d6697c273b49489b40e166f7818c5Anomaly Detection of Webbased Attacks.
2fd4ae6f0249487b1b5dfede9e299adcApplication of Artiticial Neural Network to Misuse Detection: Initial Results.
8d8b5efd562bf691cdb9ac644008ce83Audit Data Reduction for Intrusion Detection.
8c785feca2c5a1957619ddae33bc760fAutograph: Toward Automated, Distributed Worm Signature Detection.
a55d83605ae8b4afde4c539036fa233cBayesian Event Classification for Intrusion Detection.
ce8ddaabab3ae1fa293dcd8b2feb65dfBro: A System for Detecting Network Intruders in RealTime.
763a71f31bba0e58c27cf2c818ff359eCharacteristics of Network Flow Anomalies.
4698086eb08b12f07f28cbd16516b847Combining Knowledge Discovery and Knowledge Engineering to Build IDSs.
11199f6a5d6aef24e681ee9404ace4d7Connectionhistory Based Anomaly Detection.
5c667c43386d188500d20dc84401ef31
© 2012 Packet Storm. All rights reserved.
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