Estimation of distribution algorithm for optimization of neural networks for intrusion detection system
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Yuehui | - |
dc.contributor.author | Zhang, Yong | - |
dc.contributor.author | Abraham, Ajith | - |
dc.date.accessioned | 2023-03-09T00:35:28Z | - |
dc.date.available | 2023-03-09T00:35:28Z | - |
dc.date.issued | 2006 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65461 | - |
dc.description.abstract | An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system. This paper evaluates the performances of Estimation of Distribution Algorithm (EDA) to train a feed-forward neural network classifier for detecting intrusions in a network. Results are then compared with Particle Swarm Optimization (PSO) based neural classifier and Decision Trees (DT). Empirical results clearly show that evolutionary computing techniques could play an important role in designing real time intrusion detection systems. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Estimation of distribution algorithm for optimization of neural networks for intrusion detection system | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/11785231_2 | - |
dc.identifier.bibliographicCitation | ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2006, PROCEEDINGS, v.4029, pp 9 - 18 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000239600000002 | - |
dc.identifier.scopusid | 2-s2.0-33746219703 | - |
dc.citation.endPage | 18 | - |
dc.citation.startPage | 9 | - |
dc.citation.title | ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2006, PROCEEDINGS | - |
dc.citation.volume | 4029 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.subject.keywordPlus | ENSEMBLE | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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