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» Detecting Anomalies and Intruders
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WWIC
2010
Springer
193views Communications» more  WWIC 2010»
15 years 10 months ago
0day Anomaly Detection Made Possible Thanks to Machine Learning
Abstract. This paper proposes new cognitive algorithms and mechanisms for detecting 0day attacks targeting the Internet and its communication performances and behavior. For this pu...
Philippe Owezarski, Johan Mazel, Yann Labit
IV
2010
IEEE
150views Visualization» more  IV 2010»
15 years 4 months ago
Supporting the Analytical Reasoning Process in Maritime Anomaly Detection: Evaluation and Experimental Design
Despite the growing number of systems providing visual analytic support for investigative analysis, few empirical studies include investigations on the analytical reasoning proces...
Maria Riveiro, Göran Falkman
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 4 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
CVPR
2009
IEEE
17 years 1 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
JSAC
2006
165views more  JSAC 2006»
15 years 6 months ago
Image-Based Anomaly Detection Technique: Algorithm, Implementation and Effectiveness
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. This paper presents NetViewer, a network measure...
Seong Soo Kim, A. L. Narasimha Reddy