A Trust and Reputation System for IoT Service Interactions
Abstract
The rise of the Internet has enabled new types of relationships and online domains where trust must be computed rather than earned. However, classic trust and reputation techniques designed to support computational trust among Internet entities do not meet the scalability requirements and the resource constraints typical of Internet of Things (IoT) devices. This paper provides a general framework for managing computational trust where Blockchain technology and reputation systems are used in conjunction. Our framework relies on a reward-penalty scheme to offer a customizable, secure, and scalable trust architecture for IoT devices and the services they access. We implemented and tested a smart contract-based proof-of-concept, carrying out an analysis of its cost and security to verify the practical viability of our solution.
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Implementing cross-chain access control between different blockchains requires solving differences between blockchains and problems such as access control policy conflicts and smart contract adaptability.
“Implementing cross-chain access control between different blockchains requires solving not only the differences between blockchains themselves but also a series of problems, such as access control policy conflicts and smart contract adaptability [88].”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [88]
The side chain realizes specific business functions and highly improves performance through the parallel work of multiple chains.
“The side chain realizes specific business functions and highly improves performance through the parallel work of multiple chains [88].”
From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [88]
Cites
Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E. (2000) · Communications of the ACM · doi:10.1145/355112.355122 · Cited by 2,190 · cited 1× · see citing works
“Often, reputation-based trust computation relies on evidence of past behavior collected from third parties; the evidence’s authenticity is also guaranteed by credentials [4].”
BackgroundA trust architecture for blockchain in IoT
Dedeoglu, V., Jurdak, R., Putra, G. D., Dorri, A., & Kanhere, S. S. (2019) · Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services · doi:10.1145/3360774.3360822 · Cited by 124 · see citing works
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172 · see citing works
- Authors
- Battah, A. A., Iraqi, Y., & Damiani, E.
- Affiliations
- Khalifa University of Science and Technology (AE)
- Université Mohammed VI Polytechnique (MA)
- University of Milan (IT)
- Venue
- IEEE Transactions on Network and Service Management
- Published
- 2022-09
- Volume
- 19
- Issue
- 3
- Pages
- 2987-3005
- ISSN
- 1932-4537 (ISSN-L)
- 2373-7379
- OpenAlex
- W4285237258
- Cited by
- 25
- References
- 2
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 8 · 2023: 5 · 2022: 1
- FWCI
- 4.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Network and Service Management (publishedVersion)
- Funders
- Mohammed VI Polytechnic University, Morocco
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- trust management, reputation systems, Internet of Things, blockchain, smart contracts, reward and punishment system, scalability, resource-constrained devices, computational trust
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