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» NADA - Network Anomaly Detection Algorithm
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AAAI
2012
11 years 10 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
CIKM
2007
Springer
14 years 2 months ago
Detecting distance-based outliers in streams of data
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
Fabrizio Angiulli, Fabio Fassetti
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
CLUSTER
2007
IEEE
14 years 2 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
CSREASAM
2007
13 years 9 months ago
Intrusion Detection System to Detect Wormhole Using Fault Localization Techniques
— In this paper, we present a strategy to detect an intrusion using fault localization tools. We propose an intrusion detection system to detect a self-contained in-band wormhole...
Maitreya Natu, Adarshpal S. Sethi