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SEC
2008
13 years 5 months ago
Anomaly Detection with Diagnosis in Diversified Systems using Information Flow Graphs
Design diversity is a well-known method to ensure fault tolerance. Such a method has also been applied successfully in various projects to provide intrusion detection and tolerance...
Frédéric Majorczyk, Eric Totel, Ludo...
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
13 years 11 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
ATC
2006
Springer
13 years 8 months ago
Multi-level Model-Based Self-diagnosis of Distributed Object-Oriented Systems
Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-s...
A. Reza Haydarlou, Benno J. Overeinder, Michel A. ...
IVS
2006
240views more  IVS 2006»
13 years 4 months ago
Business process impact visualization and anomaly detection
Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes ...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, J&oum...
IEEEVAST
2010
12 years 11 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen