Using Blockchain in a Reputation-Based Model for Grouping Agents in the Internet of Things

Fortino, Giancarlo; Messina, Fabrizio; Rosaci, Domenico; Sarné, Giuseppe M. L.

doi:10.1109/tem.2019.2918162

Cited by 77 publications

(47 citation statements)

References 62 publications

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“…The reputation is maintained considering users' opinions about their past interactions with the public fog nodes. A similar work has been done by Fortino et al [37] which proposed a reputation-based model for grouping IoT agents Using blockchain. Fortino et al [38] have proposed a trust and local reputation based model for group formation in the cloud of things.…”

Section: Related Workmentioning

confidence: 82%

Context-Aware Trust and Reputation Model for Fog-Based IoT

et al. 2020

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Trust and reputation are important terms whether the communication is Humans-to-Human (H2H), Human-Machine-Interaction (HMI) or Machine-to-Machine (M2M). As Cloud computing and the internet of things (IoT) bring new innovations, they also cause various security and privacy issues. As numerous devices are continuously integrating as a core part of IoT, it is necessarily important to consider various security issues such as the trustworthiness of a user or detection of a malicious user. Moreover, fog computing also known as edge computing is revolutionizing the Cloud-based IoT by providing the Cloud services at the edge of the network, which can provide aid in overcoming security, privacy and trust issues. In this work, we propose a context-aware trust evaluation model to evaluate the trustworthiness of a user in a Fog based IoT (FIoT). The proposed approach uses a context-aware multi-source trust and reputation based evaluation system which helps in evaluating the trustworthiness of a user effectively. Further, we use context-aware feedback and feedback crawler system which helps in making trust evaluation unbiased, effective and reliable. Furthermore, we introduce monitor mode for malicious/untrustworthy users, which helps in monitoring the behavior and trustworthiness of a user. The proposed approach uses several tunable factors, which can be tuned based on the system's requirements. The simulations and results indicate that our approach is effective and reliable to evaluate the trustworthiness of a user.

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Section: Related Workmentioning

confidence: 82%

Context-Aware Trust and Reputation Model for Fog-Based IoT

et al. 2020

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“…With the benefit of more trustable data collection, blockchain technology and its applications have drawn enormous attention from various researchers in IoT era. A reputation-based model is proposed in IoT blockchain systems to spread reliable and certified information of distributed devices [9]. The potential trust relationships of cloud-of-thing partners are exploited in [10] to improve the mutual trust and helpfulness between individual and group devices.…”

Section: Related Workmentioning

confidence: 99%

Towards Large-Scale and Privacy-Preserving Contact Tracing in COVID-19 Pandemic: A Blockchain Perspective

Jiang

et al. 2022

IEEE Trans. Netw. Sci. Eng.

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Activity-tracking applications and location-based services using short-range communication (SRC) techniques have been abruptly demanded in the COVID-19 pandemic, especially for automated contact tracing. The attention from both public and policy keeps raising on related practical problems, including 1) how to protect data security and location privacy? 2) how to efficiently and dynamically deploy SRC Internet of Thing (IoT) witnesses to monitor large areas? To answer these questions, in this paper, we propose a decentralized and permissionless blockchain protocol, named Bychain. Specifically, 1) a privacy-preserving SRC protocol for activity-tracking and corresponding generalized block structure is developed, by connecting an interactive zeroknowledge proof protocol and the key escrow mechanism. As a result, connections between personal identity and the ownership of on-chain location information are decoupled. Meanwhile, the owner of the on-chain location data can still claim its ownership without revealing the private key to anyone else. 2) An artificial potential field-based incentive allocation mechanism is proposed to incentivize IoT witnesses to pursue the maximum monitoring coverage deployment. We implemented and evaluated the proposed blockchain protocol in the real-world using the Bluetooth 5.0. The storage, CPU utilization, power consumption, time delay, and security of each procedure and performance of activities are analyzed. The experiment and security analysis is shown to provide a real-world performance evaluation.

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“…Such IIoT framework can offer various benefits like efficient quality control, enhanced field service, better system monitoring, traceable supply chains, optimized production and operation cost [13]. For example, authors in [62] presented a blockchain based reputation model in the IoT environment that is capable of building groups of agents based on the values of their reputation capital. The addition of blockchain ensures reliable and certified information about devices/agents in distributed IoT environment.…”

Section: A Blockchain For Iiotmentioning

confidence: 99%

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

et al. 2020

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Industry 4.0 encompasses a promise of a new industrial revolution in terms of providing secure, intelligent, autonomous and self-adaptive industrial IoT (IIoT) networks. Key industrial applications and systems will be significantly more complex due to the involvement of the vast number of different devices and diverse nature of various stakeholders and service providers. These complex industrial processes, services and applications also have strict requirements in terms of performance-latency in particular-and resource-efficiency, together with high standards for security and trust. In this context, Blockchain and Edge Computing emerge as prominent technologies to address the mentioned essential requirements and to further strengthen the rise of the new era of digitization. The Edge computing paradigm ensures low latency services for IIoT applications while optimizing the network usage, whereas Blockchain provides a decentralized way for ensuring data integrity, trust and security. In this paper, we propose a 'BlockEdge' framework that combines these two enabling technologies to address some of the critical issues faced by the current IIoT networks. We verify the feasibility of our approach by evaluating the performance and resource-efficiency of BlockEdge in terms of latency, power consumption and network usage, through simulations against non-Blockchain solution.

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Using Blockchain in a Reputation-Based Model for Grouping Agents in the Internet of Things

Cited by 77 publications

References 62 publications

Context-Aware Trust and Reputation Model for Fog-Based IoT

Context-Aware Trust and Reputation Model for Fog-Based IoT

Towards Large-Scale and Privacy-Preserving Contact Tracing in COVID-19 Pandemic: A Blockchain Perspective

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

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