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ICNC
2005
Springer
14 years 1 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
INFOCOM
2008
IEEE
14 years 2 months ago
Detecting Anomalies Using End-to-End Path Measurements
—In this paper, we propose new “low-overhead” network monitoring techniques to detect violations of path-level QoS guarantees like end-to-end delay, loss, etc. Unlike existin...
K. V. M. Naidu, Debmalya Panigrahi, Rajeev Rastogi
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 2 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
CIA
2008
Springer
13 years 9 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
RAID
1999
Springer
13 years 12 months ago
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
Alexandr Seleznyov, Seppo Puuronen