An On-Off Attack Resilient Trust Framework for IoT

DOI

10.2991/978-94-6239-713-2_36How to use a DOI?

Keywords

Internet of Things (IoT); Trust Management; Coverage Reliability; On-Off Attack; Trust; IoT Security; Malicious Node Detection

Abstract

The rapid growth of the IoT has led to the development of highly interconnected smart environments in which secure and reliable communication is crucial. `Trust management has proven to be an effective approach to evaluating the reliability of nodes in IoT environments while mitigating malicious interactions. However, existing trust models have failed to consider dynamic adversarial behaviors in which on-off attacks can occur. In on-off attacks, malicious nodes can exhibit both cooperative and adverse behaviors to escape detection. These behaviors can lead to an increase in trust value, which can undermine the reliability of the network. In this paper, we develop a coverage reliability-aware trust model that can improve the reliability of IoT networks while resisting on-off attacks. The proposed model incorporates cooperative trust, adverse trust, and energy-based trust to improve its reliability. To prevent trust value inflation that can result from on-off attacks, an exponential penalty is incorporated in the model. The efficacy of the proposed model is demonstrated in this paper using intensive simulations of dynamic IoT environments. The results obtained from the experiments show that the proposed model can quickly degrade the trust of malicious nodes while maintaining stable trust for legitimate nodes. Compared to existing trust management approaches, the proposed model has demonstrated improved reliability, achieved higher precision and recall while resisted on-off attacks.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mohit Kumar Jain
AU  - Surendra Singh Dua
AU  - Harsh Modi
PY  - 2026
DA  - 2026/06/25
TI  - An On-Off Attack Resilient Trust Framework for IoT
BT  - Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)
PB  - Atlantis Press
SP  - 482
EP  - 497
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-713-2_36
DO  - 10.2991/978-94-6239-713-2_36
ID  - Jain2026
ER  -