The Use of Intelligent Algorithms to Detect Attacks In Intrusion Detection System
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Summary
This paper builds an Intrusion Detection System using Artificial neural networks (ANN) and Self-Organizing Map (SOM) to accomplish this task and complement other security systems.
- Type
- article
- Published
- 2014-09-01
- Cited by
- 2
- References
- 13
- OpenAlex
- https://openalex.org/W2321143782
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54734305
Keywords
Computer science, Intrusion detection system, Intrusion, Algorithm, Data mining
References
- The Scientist and Engineer's Guide to Digital Signal Processing
- Continuous Reinforced Snap-Drift Learning in a Neural Architecture for Proxylet Selection in Active Computer Networks
- Computer viruses: Theory and experiments
- Neural network design
- An Intrusion-Detection Model
- What Is Computer Security?
- A neural network application for attack detection in computer networks
- Computer viruses—theory and experiments
- Analysis and Results of the 1999 DARPA Off-Line Intrusion Detection Evaluation
- Computer security threat monitoring and surveillance
- Self-Organizing Maps
- Dynamic Intrusion Detection Using Self-Organizing Maps
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