Securing internet of things using machine and deep learning methods: a survey

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dc.contributor.authorGhaffari, A.
dc.contributor.authorJelodari, N.
dc.contributor.authorpouralish, S.
dc.contributor.authorderakhshanfard, N.
dc.contributor.authorArasteh, B.
dc.date.accessioned2024-05-19T14:33:50Z
dc.date.available2024-05-19T14:33:50Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe Internet of Things (IoT) is a vast network of devices with sensors or actuators connected through wired or wireless networks. It has a transformative effect on integrating technology into people’s daily lives. IoT covers essential areas such as smart cities, smart homes, and health-based industries. However, security and privacy challenges arise with the rapid growth of IoT devices and applications. Vulnerabilities such as node spoofing, unauthorized access to data, and cyberattacks such as denial of service (DoS), eavesdropping, and intrusion detection have emerged as significant concerns. Recently, machine learning (ML) and deep learning (DL) methods have significantly progressed and are robust solutions to address these security issues in IoT devices. This paper comprehensively reviews IoT security research focusing on ML/DL approaches. It also categorizes recent studies on security issues based on ML/DL solutions and highlights their opportunities, advantages, and limitations. These insights provide potential directions for future research challenges. © The Author(s) 2024.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAKen_US
dc.description.sponsorshipOpen access funding provided by the Scientific and Technological Research Council of T\u00FCrkiye (T\u00DCB\u0130TAK).en_US
dc.identifier.doi10.1007/s10586-024-04509-0
dc.identifier.issn1386-7857
dc.identifier.scopus2-s2.0-85190551479en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s10586-024-04509-0
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4346
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofCluster Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectDeep Learningen_US
dc.subjectInternet Of Thingsen_US
dc.subjectMachine Learningen_US
dc.subjectSecurityen_US
dc.titleSecuring internet of things using machine and deep learning methods: a surveyen_US
dc.typeArticleen_US

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