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» Intrusion Detection with Neural Networks
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IJCNN
2007
IEEE
14 years 2 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...
ICAPR
2005
Springer
14 years 1 months ago
GP Ensemble for Distributed Intrusion Detection Systems
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid multiisland model-based environment to monitor security...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
RAID
2005
Springer
14 years 1 months ago
Behavioral Distance for Intrusion Detection
We introduce a notion, behavioral distance, for evaluating the extent to which processes—potentially running different programs and executing on different platforms—behave si...
Debin Gao, Michael K. Reiter, Dawn Xiaodong Song
EGC
2005
Springer
14 years 1 months ago
Towards a Grid-wide Intrusion Detection System
We describe SANTA-G (Grid-enabled System Area Networks Trace Analysis), an instrument monitoring framework that uses the RGMA (Relational Grid Monitoring Architecture). We describe...
Stuart Kenny, Brian A. Coghlan
CSREASAM
2006
13 years 9 months ago
Comparison of Two Sampling-Based Data Collection Mechanisms for Intrusion Detection System
- Data collection mechanism is a crucial factor for the performance of intrusion detection system (IDS). Simple random sampling and Stratified random sampling techniques of statist...
Kuo Zhao, Liang Hu, Guannan Gong, Meng Zhang, Kexi...