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» Anomaly Detection Using Process Mining
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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 ...
CIG
2006
IEEE
14 years 1 months ago
Anomaly Detection in Magnetic Motion Capture using a 2-Layer SOM network
— Over recent years, the fall in cost, and increased availability of motion capture equipment has led to an increase in non-specialist companies being able to use motion capture ...
Iain Miller, Stephen McGlinchey, Benoit Chaperot
IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 2 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...
FLAIRS
2010
13 years 10 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
EWSN
2008
Springer
14 years 7 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...