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Trust-Based Defence Model Against MAC Unfairness Attacks for IoT

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

Authors

Nabil Djedjig

Djamel Tandjaoui

Faiza Medjek



Contributors

Carlos Westphall
Editor

Khalil El-Khatib
Editor

Dragana Krsti?
Editor

Hamid Menouar
Editor

Abstract

The vulnerability of IoT networks makes channel access security a serious problem. The IEEE 802.15.4 MAC (Media Access Control) layer faces the risk of attacks from malicious nodes which attempts to get a dominating position and hold unfair advantages over the other nodes. In this paper, we address MAC unfairness attacks where attackers attempt to bypass the MAC priority. We propose a MAC-trust-based model to handle unfairness attacks while maintaining channel access to all participating nodes. In our scheme, a Pan Coordinator Manager (PCM) cooperates with PANs and Coordinators to detect malicious behavior, calculate trust values for participating nodes, and maintain a blacklist of malicious nodes. Our model modifies Guaranteed Time Slots (GTS) allocation policies according to nodes’ trust values.

Citation

Djedjig, N., Tandjaoui, D., Romdhani, I., & Medjek, F. (2017). Trust-Based Defence Model Against MAC Unfairness Attacks for IoT. In C. Westphall, K. El-Khatib, D. Krstić, & H. Menouar (Eds.), Proceedings of the Thirteenth International Conference on Wireless and Mobile Communications

Conference Name The Thirteenth International Conference on Wireless and Mobile Communications
Start Date Jul 23, 2017
End Date Jul 27, 2017
Acceptance Date Jun 22, 2017
Online Publication Date Jul 23, 2017
Publication Date Jul 23, 2017
Deposit Date Jun 23, 2017
Publicly Available Date Jun 23, 2017
Publisher International Academy, Research, and Industry Association
Series ISSN 2308-4219
Book Title Proceedings of the Thirteenth International Conference on Wireless and Mobile Communications
Chapter Number na
ISBN 9781612085722
Keywords IoT security, Trust Management, Wireless Sensor Networks, RPL
Public URL http://researchrepository.napier.ac.uk/Output/951260

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