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Physical Layer Authentication in Mission-Critical MTC Networks: A Security and Delay Performance Analysis
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering. (CERCES)ORCID iD: 0000-0003-4961-5973
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering. (CERCES)ORCID iD: 0000-0001-9307-484X
KTH, School of Electrical Engineering and Computer Science (EECS).ORCID iD: 0000-0002-0150-2489
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6682-6559
2019 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 37, no 4, p. 795-808Article in journal (Refereed) Published
Abstract [en]

We study the detection and delay performance impacts of a feature-based physical layer authentication (PLA) protocol in mission-critical machine-type communication (MTC) networks. The PLA protocol uses generalized likelihood-ratio testing based on the line-of-sight (LOS), single-input multiple- output channel-state information in order to mitigate imper- sonation attempts from an adversary node. We study the de- tection performance, develop a queueing model that captures the delay impacts of erroneous decisions in the PLA (i.e., the false alarms and missed detections), and model three different adversary strategies: data injection, disassociation, and Sybil attacks. Our main contribution is the derivation of analytical delay performance bounds that allow us to quantify the delay introduced by PLA that potentially can degrade the performance in mission-critical MTC networks. For the delay analysis, we utilize tools from stochastic network calculus. Our results show that with a sufficient number of receive antennas (approx. 4-8) and sufficiently strong LOS components from legitimate devices, PLA is a viable option for securing mission-critical MTC systems, despite the low latency requirements associated to corresponding use cases. Furthermore, we find that PLA can be very effective in detecting the considered attacks, and in particular, it can significantly reduce the delay impacts of disassociation and Sybil attacks.

Place, publisher, year, edition, pages
2019. Vol. 37, no 4, p. 795-808
National Category
Communication Systems
Research subject
Telecommunication
Identifiers
URN: urn:nbn:se:kth:diva-245235DOI: 10.1109/JSAC.2019.2899421ISI: 000461853500008Scopus ID: 2-s2.0-85061989373OAI: oai:DiVA.org:kth-245235DiVA, id: diva2:1294533
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QC 29189312

Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2019-04-09Bibliographically approved

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Thobaben, RagnarAl-Zubaidy, HusseinGross, James

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Henrik, ForssellThobaben, RagnarAl-Zubaidy, HusseinGross, James
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Information Science and EngineeringSchool of Electrical Engineering and Computer Science (EECS)
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