Trust-aware and cooperative routing protocol for IoT security

Djedjig, Nabil; Tandjaoui, Djamel; Medjek, Faiza; Romdhani, Imed

Abstract

The resource-constrained nature of IoT objects makes the Routing Protocol for Low-power and Lossy Networks (RPL) vulnerable to several attacks. Although RPL specification provides encryption protection to control messages, RPL is still vulnerable to internal attackers and selfish behaviours. To address the lack of robust security mechanisms in RPL, we design a new Metric-based RPL Trustworthiness Scheme (MRTS) that introduces trust evaluation for secure routing topology construction. Extensive simulations show that MRTS is efficient in terms of packet delivery ratio, energy consumption, nodes’ rank changes, and throughput. In addition, a mathematical modelling analysis shows that MRTS meets the requirements of consistency, optimality, and loop-freeness and that the proposed trust-based routing metric has the isotonicity and monotonicity properties required for a routing protocol. By using game theory concepts, we formally describe MRTS as a strategy for the iterated Prisoner's Dilemma and demonstrate its cooperation enforcement characteristic. Both mathematical analysis and evolutionary simulation results show clearly that MRTS, as a strategy, is an efficient approach in promoting the stability and the evolution of the Internet of Things network.

Citation

Djedjig, N., Tandjaoui, D., Medjek, F., & Romdhani, I. (2020). Trust-aware and cooperative routing protocol for IoT security. Journal of Information Security and Applications, 52, Article 102467. https://doi.org/10.1016/j.jisa.2020.102467

• Journal Article Type: Article
• Online Publication Date: Feb 28, 2020
• Publication Date: Jun 30, 2020
• Deposit Date: Apr 25, 2024
• Journal: Journal of Information Security and Applications
• Electronic ISSN: 2214-2126
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 52
• Article Number: 102467
• DOI: https://doi.org/10.1016/j.jisa.2020.102467
• Public URL: https://uwe-repository.worktribe.com/output/11912695