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IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 1 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...
RAID
1999
Springer
13 years 11 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
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
14 years 7 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
TSMC
2002
134views more  TSMC 2002»
13 years 6 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...