An anomaly-based intrusion detection system in presence of benign outliers with visualization capabilities
Author:
Open Access
- 1 October 2018
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 108, 36-60
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising mapsKnowledge-Based Systems, 2014
- Fraud detection using self-organizing map visualizing the user profilesKnowledge-Based Systems, 2014
- A novel intrusion detection system based on feature generation with visualization strategyExpert Systems with Applications, 2014
- Choosing DBSCAN Parameters Automatically using Differential EvolutionInternational Journal of Computer Applications, 2014
- Applying Variable Coe_cient functions to Self-Organizing Feature Maps for Network Intrusion Detection on the 1999 KDD Cup DatasetProcedia Computer Science, 2012
- Visualization Techniques For Intrusion Detection - A SurveyInternational Journal of Computer Science & Engineering Survey, 2011
- Neural visualization of network traffic data for intrusion detectionApplied Soft Computing, 2011
- Wavelet-based confidence intervals for the self-similarity parameterJournal of Statistical Computation and Simulation, 2008
- A hybrid artificial immune system and Self Organising Map for network intrusion detectionInformation Sciences, 2008
- Discovering cluster-based local outliersPattern Recognition Letters, 2003