Abstract
The Internet of Things (IoT) provides advanced services by interconnecting a huge number of heterogeneous smart things (virtual or physical devices) through existing interoperable information and communication technologies. Due to its tenuous nature, IoT is vulnerable to different types of attacks, which usually lead to exposure of secrets from the node to the attacker, and compromises the authenticity, integrity, and real-time delivery of data. As such, it is important to have a trust and reputation model to evaluate the trustworthiness of the different players in IoT settings. Trust-based reputation models have been developed for this purpose, but to date, no attempts have been made to compare their performance in an IoT setting. The objective of this work is to implement a multi-agent framework to simulate a smart factory supply chain using IIOT and evaluate the performance of three well-known models: ReGreT, S-IoT, and R-D-C in terms of trustworthiness and cash utility. Based on our experiments, ReGreT performed the best among the three models in terms of evaluating trustworthiness and R-D-C gained the most cash utility.
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Notes
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\(i\) s the stage number of the stage \( Stg\).
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The specifications of the VM are the Operating System which is Windows Server 2019 Datacenter 64-bit, the Processor type is AMD EPYC 7452 32-Core Processor (8 CPUs), ~ 2.3 GHz, and the Available OS Memory is 32768 MB RAM (https://hpc.inde.nz/home).
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Al-Shamaileh, M., Anthony, P., Charters, S. (2022). Evaluating Trust and Reputation Models for IoT Environment. In: Jezic, G., Chen-Burger, YH.J., Kusek, M., Šperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2022. Smart Innovation, Systems and Technologies, vol 306. Springer, Singapore. https://doi.org/10.1007/978-981-19-3359-2_5
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