Yahyaoui, Hamdi, Maamar, Zakaria, Al-Khafajiy, Mohammed and Al-Hamadi, Hamid (2022) Trust-based management in IoT federations. Future Generation Computer Systems, 136 . pp. 182-192. ISSN 0167-739X
Full content URL: https://doi.org/10.1016/j.future.2022.06.003
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1-s2.0-S0167739X22002023-main.pdf - Whole Document Available under License Creative Commons Attribution 4.0 International. 2MB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
This paper presents a trust-based evolutionary game model for managing Internet-of-Things (IoT) federations. The model adopts trust-based payoff to either reward or penalize things based on the behaviors they expose. The model also resorts to monitoring these behaviors to ensure that the share of untrustworthy things in a federation does not hinder the good functioning of trustworthy things in this federation. The trust scores are obtained using direct experience with things and feedback from other things and are integrated into game strategies. These strategies capture the dynamic nature of federations since the population of trustworthy versus untrustworthy things changes over time with the aim of retaining the trustworthy ones. To demonstrate the technical doability of the game strategies along with rewarding/penalizing things, a set of experiments were carried out and results were benchmarked as per the existing literature. The results show a better mitigation of attacks such as bad-mouthing and ballot-stuffing on trustworthy things.
Keywords: | Internet-of-Things, IoT, Federation, Trust |
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Subjects: | G Mathematical and Computer Sciences > G411 Computer Architectures G Mathematical and Computer Sciences > G400 Computer Science G Mathematical and Computer Sciences > G420 Networks and Communications |
Divisions: | College of Science > School of Computer Science |
ID Code: | 49874 |
Deposited On: | 04 Jul 2022 09:48 |
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