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ICDCSW
2005
IEEE
15 years 10 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
119
Voted
IJCNN
2007
IEEE
15 years 11 months ago
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
Abstract— Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is v...
Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz...
PAM
2009
Springer
15 years 11 months ago
Monitoring the Bittorrent Monitors: A Bird's Eye View
Abstract. Detecting clients with deviant behavior in the Bittorrent network is a challenging task that has not received the deserved attention. Typically, this question is seen as ...
Georgos Siganos, Josep M. Pujol, Pablo Rodriguez
133
Voted
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 10 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 5 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