A survey on intrusion detection system in ad hoc networks based on machine learning

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dc.contributor.authorAbbood, Zainab Ali
dc.contributor.authorAtilla, Doğu Çağdaş
dc.contributor.authorAydın, Çağatay
dc.contributor.authorMahmoud, Mahmoud Shuker
dc.date.accessioned2022-04-06T08:04:44Z
dc.date.available2022-04-06T08:04:44Z
dc.date.issued2021en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThis advanced research survey aims to perform intrusion detection and routing in ad hoc networks in wireless MANET networks using machine learning techniques. The MANETs are composed of several ad-hoc nodes that are randomly or deterministically distributed for communication and acquisition and to forward the data to the gateway for enhanced communication securely. MANETs are used in many applications such as in health care for communication; in utilities such as industries to monitor equipment and detect any malfunction during regular production activity. In general, MANETs take measurements of the desired application and send this information to a gateway, whereby the user can interpret the information to achieve the desired purpose. The main importance of MANETs in intrusion detection is that they can be trained to detect intrusion and real-time attacks in the CIC-IDS 2019 dataset. MANETs routing protocols are designed to establish routes between the source and destination nodes. What these routing protocols do is that they decompose the network into more manageable pieces and provide ways of sharing information among its neighbors first and then throughout the whole network. The landscape of exciting libraries and techniques is constantly evolving, and so are the possibilities and options for experiments. Implementing the framework in python helps in reducing syntactic complexity, increases performance compared to implementations in scripting languages, and provides memory safety.en_US
dc.identifier.citationAbbood, Z. A., Atilla, D. Ç., Aydin, Ç., & Mahmoud, M. S. (2021, December). A Survey on Intrusion Detection System in Ad Hoc Networks Based on Machine Learning. In 2021 International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI) (pp. 1-8). IEEE.en_US
dc.identifier.endpage8en_US
dc.identifier.scopus2-s2.0-85124943799
dc.identifier.scopusqualityN/A
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2317
dc.identifier.wosWOS:000828142500026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAtilla, Doğu Çağdaş
dc.institutionauthorAbbood, Zainab Ali
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/MTICTI53925.2021.9664776en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIntrusionen_US
dc.subjectMANETen_US
dc.subjectDetectionen_US
dc.subjectWSNen_US
dc.subjectSDNen_US
dc.subjectNetworken_US
dc.subjectTrafficen_US
dc.subjectMonitoringen_US
dc.subjectMachine Learningen_US
dc.subjectANNen_US
dc.titleA survey on intrusion detection system in ad hoc networks based on machine learning
dc.typeArticle

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