Unsupervised learning clustering and self-organized agents applied to help network management
Authors:
- Luiz Fernando CarvalhoLCLuiz Fernando Carvalho
- Sylvio BarbonSylvio Barbon
- Leonardo de Souza MendesLMLeonardo de Souza Mendes
- Mario Lemes ProençaMPMario Lemes Proença
- 1 July 2016
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 54, 29-47
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Decentralized detection of network attacks through P2P data clustering of SNMP dataComputers & Security, 2015
- Scorpius: sFlow Network Anomaly SimulatorJournal of Computer Science, 2015
- DDoS Attack Detection Using Fast Entropy Approach on Flow- Based Network TrafficProcedia Computer Science, 2015
- On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection SystemsExpert Systems with Applications, 2015
- Using response action with intelligent intrusion detection and prevention system against web application malwareInformation Management & Computer Security, 2014
- A seven-dimensional flow analysis to help autonomous network managementInformation Sciences, 2014
- Network Anomaly Detection: Methods, Systems and ToolsIEEE Communications Surveys & Tutorials, 2013
- Explanations of unsupervised learning clustering applied to data security analysisNeurocomputing, 2009
- Ant colony optimizationIEEE Computational Intelligence Magazine, 2006
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated ClustersJournal of Cybernetics, 1973