IoT-Based Intrusion Detection Systems: A Review

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dc.contributor.authorMohamed, Tamara Saad
dc.contributor.authorAydin, Sezgin
dc.date.accessioned2025-03-17T12:25:44Z
dc.date.available2025-03-17T12:25:44Z
dc.date.issued2022
dc.departmentTarsus Üniversitesi
dc.description.abstractInternet of Things (IoT) is a modern prototype that merges physical entities affiliated with a variety of fields, like industrial tasks, firm automation, mortal fitness, and habitat observance with the internet. It intensifies the occupancy of Internet-linked objects in everyday tasks, resulting in issues linked to security besides usefulness. For many years, Intrusion Detection Systems (IDS) have proven to be advantageous for guarding information systems and networks. Conversely, enacting old IDS procedures on IoT is unrealistic owing to some specific elements. For instance, specific protocol stacks, strained-asset gadgets, and measures. This study furnishes inspection of IDS inquiry achievements for IoT. The objective entails the establishment of key biases, general drawbacks, and inquiry guidelines. Grouping of the suggested IDSs was undertaken in the state-of-art regarding the subsequent qualities: discernment technique, IDS placement procedure, security peril, and confirmation procedure. The paper further considered every attribute shortcoming, exploring views of material with suggestions on certain IDS procedures for IoT or inaugurating attack distinguishing procedures for IoT menaces with the possibility of being fixed in IDSs. [GRAPHICS] .
dc.identifier.doi10.1080/23080477.2021.1972914
dc.identifier.endpage282
dc.identifier.issn2308-0477
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85113742188
dc.identifier.scopusqualityQ1
dc.identifier.startpage265
dc.identifier.urihttps://doi.org/10.1080/23080477.2021.1972914
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1842
dc.identifier.volume10
dc.identifier.wosWOS:000691134400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofSmart Science
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectInternet of things
dc.subjectintrusion detection system
dc.subjectmisuse detection
dc.subjectanomaly detection
dc.subjectsecurity
dc.titleIoT-Based Intrusion Detection Systems: A Review
dc.typeReview

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