Securing the Internet of Things: Challenges and Complementary Overview of Machine Learning-Based Intrusion Detection

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dc.contributor.authorIsin, Latife Ilayda
dc.contributor.authorDalveren, Yaser
dc.contributor.authorLeka, Elva
dc.contributor.authorKara, Ali
dc.date.accessioned2025-03-20T09:44:58Z
dc.date.available2025-03-20T09:44:58Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.descriptionIEEE SMC; IEEE Turkiye Section
dc.description2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 204562
dc.description.abstractThe significant increase in the number of IoT devices has also brought with it various security concerns. The ability of these devices to collect a lot of data, including personal information, is one of the important reasons for these concerns. The integration of machine learning into systems that can detect security vulnerabilities has been presented as an effective solution in the face of these concerns. In this review, it is aimed to examine the machine learning algorithms used in the current studies in the literature for IoT network security. Based on the authors' previous research in physical layer security, this research also aims to investigate the intersecting lines between upper layers of security and physical layer security. To achieve this, the current state of the area is presented. Then, relevant studies are examined to identify the key challenges and research directions as an initial overview within the authors' ongoing project. © 2024 IEEE.
dc.description.sponsorshipEuropean Cooperation in Science and Technology, COST, (CA22104)
dc.description.sponsorshipEuropean Cooperation in Science and Technology, COST
dc.identifier.doi10.1109/ASYU62119.2024.10757068
dc.identifier.isbn979-835037943-3
dc.identifier.scopus2-s2.0-85213393385
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU62119.2024.10757068
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2096
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250319
dc.subjectcyberattacks
dc.subjectfederated learning
dc.subjectinternet-of-things
dc.subjectintrusion detection
dc.subjectmachine learning
dc.subjectsecurity
dc.titleSecuring the Internet of Things: Challenges and Complementary Overview of Machine Learning-Based Intrusion Detection
dc.typeConference Object

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