The Use of Artificial Neural Networks in Network Intrusion Detection: a Systematic Review

dc.authorwosid Peker, Serhat/A-9677-2016
dc.contributor.author Oney, Mehmet Ugur
dc.contributor.author Peker, Serhat
dc.contributor.other Software Engineering
dc.date.accessioned 2024-10-06T10:58:22Z
dc.date.available 2024-10-06T10:58:22Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp [Oney, Mehmet Ugur] Atilim Univ, Dept Comp Engn, Ankara, Turkey; [Peker, Serhat] Atilim Univ, Dept Software Engn, Ankara, Turkey en_US
dc.description.abstract Network intrusion detection is an important research field and artificial neural networks have become increasingly popular in this subject. Despite this, there is a lack of systematic literature review on that issue. In this manner, the aim of this study to examine the studies concerning the application artificial neural network approaches in network intrusion detection to determine the general trends. For this purpose, the articles published within the last decade from 2008 to 2018 were systematically reviewed and 43 articles were retrieved from commonly used databases by using a search strategy. Then, these selected papers were classified by the publication type, the year of publication, the type of the neural network architectures they employed, and the dataset they used. The results indicate that there is a rising trend in the usage of ANN approaches in the network intrusion detection with the gaining popularity of deep neural networks in recent years. Moreover, the KDD'99 dataset is the most commonly used dataset in the studies of network intrusion detection using ANNs. We hope that this paper provides a roadmap to guide future research on network intrusion detection using ANNs. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.isbn 9781538668788
dc.identifier.uri https://hdl.handle.net/20.500.14411/8896
dc.identifier.wos WOS:000458717400027
dc.institutionauthor Peker, Serhat
dc.language.iso en en_US
dc.publisher Ieee en_US
dc.relation.ispartof International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Network Intrusion Detection en_US
dc.subject Neural Networks en_US
dc.subject ANNs en_US
dc.subject Literature Review en_US
dc.subject Systematic Mapping en_US
dc.title The Use of Artificial Neural Networks in Network Intrusion Detection: a Systematic Review en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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