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dc.contributor.authorThankappan, Manesh-
dc.contributor.authorRifà-Pous, Helena-
dc.contributor.authorGarrigues, Carles-
dc.date.accessioned2024-06-05T09:59:45Z-
dc.date.available2024-06-05T09:59:45Z-
dc.date.issued2024-02-06-
dc.identifier.citationThankappan, M. [Manesh], Rifà-Pous, H. [Helena], & Garrigues, C. [Carles]. (2024). A signature-based wireless intrusion detection system framework for multi-channel man-in-the-middle attacks against protected Wi-Fi networks. IEEE Access, 12, 23096-121. doi: 10.1109/ACCESS.2024.3362803en
dc.identifier.issn2169-3536MIAR
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dc.identifier.urihttp://hdl.handle.net/10609/150411-
dc.description.abstractOne of the advanced Man-in-the-Middle (MitM) attacks is the Multi-Channel MitM (MC-MitM) attack, which is capable of manipulating encrypted wireless frames between clients and the Access Point (AP) in a Wireless LAN (WLAN). MC-MitM attacks are possible on any client no matter how the client authenticates with the AP. Key reinstallation attacks (KRACK) in 2017-18, and the latest FragAttacks in 2021 are frontline MC-MitM attacks that widely impacted millions of Wi-Fi systems, especially those with Internet of Things (IoT) devices. Although there are security patches against some attacks, they are not applicable to every Wi-Fi or IoT device. In addition, existing defense mechanisms to combat MC-MitM attacks are not feasible for two reasons: they either require severe firmware modifications on all the devices in a system, or they require the use of several advanced hardware and software for deployment. On top of that, high technical overhead is imposed on users in terms of network setup and maintenance. This paper presents the first plug-and-play system to detect MC-MitM attacks. Our solution is a lightweight, signature-based, and centralized online passive intrusion detection system that can be easily integrated into Wi-Fi-based IoT environments without modifying any network settings or existing devices. The evaluation results show that our proposed framework can detect MC-MitM attacks with a maximum detection time of 60 seconds and a minimum TPR (true positive rate) of 90% by short-distance detectors and 84% by long-distance detectors in real Wi-Fi or IoT environments.en
dc.format.mimetypeapplication/pdfca
dc.language.isoengca
dc.publisherInstitute of Electrical and Electronics Engineersca
dc.relation.ispartofIEEE Access, 2024, 12ca
dc.relation.isreferencedbyhttps://ieeexplore.ieee.org/document/10423016/metrics#metrics-
dc.relation.urihttps://ieeexplore.ieee.org/document/10423016-
dc.rightsCC BY-NC-ND-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/-
dc.subjectattack signatureen
dc.subjectfragattacken
dc.subjectintrusion detectioen
dc.subjectinternet of things (IoTen
dc.subjectKRACKen
dc.subjectmulti-channel MitM (MC-MitM)en
dc.subjectWi-Fien
dc.subjectWPAen
dc.subjectwireless WLANen
dc.subjectwireless fidelityen
dc.subjectjammingen
dc.subjectcryptographyen
dc.subjectsecurityen
dc.subjectswitchesen
dc.subjectstandardsen
dc.subjectintrusion detectionen
dc.titleA signature-based wireless intrusion detection system framework for multi-channel man-in-the-middle attacks against protected Wi-Fi networksen
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessRightsinfo:eu-repo/semantics/OpenAccess-
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2024.3362803-
dc.gir.idAR/0000011389-
dc.relation.projectIDinfo:eu-repo/grantAgreement/PID2021-125962OB-C31-
dc.type.versioninfo:eu-repo/semantics/publishedVersion-
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