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LIDOR: A Lightweight DoS-Resilient Communication Protocol for Safety-Critical IoT Systems

Stute, Milan ; Agarwal, Pranay ; Kumar, Abhinav ; Asadi, Arash ; Hollick, Matthias (2020):
LIDOR: A Lightweight DoS-Resilient Communication Protocol for Safety-Critical IoT Systems. (Postprint)
In: IEEE Internet of Things Journal, 7 (8), pp. 6802-6816. IEEE, ISSN 2372-2541,
DOI: 10.25534/tuprints-00013320,

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Item Type: Article
Origin: Secondary publication service
Status: Postprint
Title: LIDOR: A Lightweight DoS-Resilient Communication Protocol for Safety-Critical IoT Systems
Language: English

IoT devices penetrate different aspects of our life including critical services, such as health monitoring, public safety, and autonomous driving. Such safety-critical IoT systems often consist of a large number of devices and need to withstand a vast range of known Denial-of-Service (DoS) network attacks to ensure a reliable operation while offering low-latency information dissemination. As the first solution to jointly achieve these goals, we propose LIDOR, a secure and lightweight multihop communication protocol designed to withstand all known variants of packet dropping attacks. Specifically, LIDOR relies on an end-to-end feedback mechanism to detect and react on unreliable links and draws solely on efficient symmetric-key cryptographic mechanisms to protect packets in transit. We show the overhead of LIDOR analytically and provide the proof of convergence for LIDOR which makes LIDOR resilient even to strong and hard-to-detect wormhole-supported grayhole attacks. In addition, we evaluate the performance via testbed experiments. The results indicate that LIDOR improves the reliability under DoS attacks by up to 91% and reduces network overhead by 32% compared to a state-of-the-art benchmark scheme.

Journal or Publication Title: IEEE Internet of Things Journal
Volume of the journal: 7
Issue Number: 8
Place of Publication: Darmstadt
Publisher: IEEE
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Sichere Mobile Netze
Profile Areas > Cybersecurity (CYSEC)
LOEWE > LOEWE-Zentren > emergenCITY
Date Deposited: 30 Nov 2020 12:53
Last Modified: 14 Dec 2022 07:10
DOI: 10.25534/tuprints-00013320
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-133208
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/13320
PPN: 502541202
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