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» The 1999 DARPA off-line intrusion detection evaluation
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IEEEARES
2006
IEEE
13 years 12 months ago
Identifying Intrusions in Computer Networks with Principal Component Analysis
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
Wei Wang, Roberto Battiti
CANS
2005
Springer
134views Cryptology» more  CANS 2005»
13 years 11 months ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 6 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
RAID
1999
Springer
13 years 10 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo