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

dc.authorscopusid57207472273
dc.authorscopusid57192819774
dc.contributor.authorÖney,M.U.
dc.contributor.authorPeker,S.
dc.contributor.otherSoftware Engineering
dc.date.accessioned2024-09-10T21:35:47Z
dc.date.available2024-09-10T21:35:47Z
dc.date.issued2019
dc.departmentAtılım Universityen_US
dc.department-tempÖney M.U., Department of Computer Engineering, Atilim University, Ankara, Turkey; Peker S., Department of Software Engineering, Atilim University, Ankara, Turkeyen_US
dc.description.abstractNetwork 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. © 2018 IEEE.en_US
dc.identifier.citation10
dc.identifier.doi10.1109/IDAP.2018.8620746
dc.identifier.isbn978-153866878-8
dc.identifier.scopus2-s2.0-85062490809
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP.2018.8620746
dc.identifier.wosqualityN/A
dc.institutionauthorPeker, Serhat
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 28 September 2018 through 30 September 2018 -- Malatya -- 144523en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANNsen_US
dc.subjectLiterature Reviewen_US
dc.subjectNetwork Intrusion Detectionen_US
dc.subjectNeural Networksen_US
dc.subjectSystematic Mappingen_US
dc.titleThe Use of Artificial Neural Networks in Network Intrusion Detection: A Systematic Reviewen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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