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Intrusion Detection in Columbia University
This project is a data-mining based approach to detecting intruders in computer systems. The project approaches the intrusion detection problem from a data-mining perspective. Large quantities of data are collected from the system and analyzed to build
http://www.cs.columbia.edu/ids/
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Intrusion detection projects at UC Davis
Anomaly Detection in Database Systems, Common Intrusion Detection Framework, Intrusion Detection and Isolation Protocol / IDIP, Intrusion Detection for Large Networks, Misuse Detection and Workshop for Intrusion Detection and Response Data Sharing.
http://seclab.cs.ucdavis.edu/
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