Stute, Milan and Agarwal, Pranay and Kumar, Abhinav and Asadi, Arash and 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,
[Article]
![]() |
Text
Stute-LIDOR-2020.pdf Restricted to Repository staff only until 2 April 2022. Available under only the rights of use according to UrhG. Download (1MB) |
Item Type: | Article |
---|---|
Origin: | Secondary publication service |
Status: | Postprint |
Title: | LIDOR : A Lightweight DoS-Resilient Communication Protocol for Safety-Critical IoT Systems |
Language: | English |
Abstract: | 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 |
Journal volume: | 7 |
Number: | 8 |
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: | 30 Nov 2020 12:53 |
DOI: | 10.25534/tuprints-00013320 |
Corresponding Links: | |
URN: | urn:nbn:de:tuda-tuprints-133208 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/13320 |
Export: |
![]() |
View Item |