Blockchain-Based Decentralized Trust Management in Vehicular Networks

By Zhe Yang, Kan Yang, Lei Lei, Kan Zheng, Victor C. M. Leung. IEEE Internet of Things Journal, 2019

766 citations recorded by the source corpus.

Vehicular networks enable vehicles to generate and broadcast messages in order to improve traffic safety and efficiency. However, due to the nontrusted environments, it is difficult for vehicles to evaluate the credibilities of received messages. In this paper, we propose a decentralized trust management system in vehicular networks based on blockchain techniques. In this system, vehicles can validate the received messages from neighboring vehicles using Bayesian Inference Model. Based on the validation result, the vehicle will generate a rating for each message source vehicle. With the ratings uploaded from vehicles, roadside units (RSUs) calculate the trust value offsets of involved vehicles and pack these data into a “block.” Then, each RSU will try to add their “blocks” to the trust blockchain which is maintained by all the RSUs. By employing the joint proof-of-work (PoW) and proof-of-stake consensus mechanism, the more total value of offsets (stake) is in the block, the easier RSU can find the nonce for the hash function (PoW). In this way, all RSUs collaboratively maintain an updated, reliable, and consistent trust blockchain. Simulation results reveal that the proposed system is effective and feasible in collecting, calculating, and storing trust values in vehicular networks.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/2a902fc7630b77daa2873f72b9cc6c3619677a10

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Citations in the corpus

A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019, unknown): “In [165], a blockchain-based decentralized trust manage-”
Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory (2018, background): “Reputation is defined as the rating of an entity’s trustworthiness by others based on its past behaviors [1], [11], [14].”
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018, methodology): “The study in [201] focuses more on the ad-hoc nature of VANETs and employs the blockchain to collect the trustworthiness rating on messages sent to each other by the peer vehicles.”
Vehicular Edge Computing and Networking: A Survey (2019, background): “Assisted by this presented blockchain-based decentralized trust management system in [142], vehicles can assess the received messages from neighbors.”
Blockchain for Internet of Things: A Survey (2019, background): “For example, the work of [91] developed a trust-management platform in IoV on top of blockchains.”
Blockchain-Based Internet of Vehicles: Distributed Network Architecture and Performance Analysis (2019, methodology): “In [24], a decentralized trust management system based on blockchain technology for in-vehicle networks is proposed.”
Reliable Federated Learning for Mobile Networks (2019, methodology): “ the initial reputation of all the workers is 0.5. We compare the proposed MSL scheme with a Traditional Subjective Logic (TSL) scheme from [7], and an Aggregated Trust Value (ATV) scheme referred to [15]. In the ATV scheme, reputation is calculated by aggregating trust value offsets with different ”
Healthchain: A Blockchain-Based Privacy Preserving Scheme for Large-Scale Health Data (2019, methodology): “For example, in the vehicular networks, to effectively evaluate the trustworthiness of vehicles in nontrusted environments, Yang et al. [22] proposed a decentralized trust management system based on blockchain techniques to update and publish the trust information of all the vehicles in vehicular…”
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks (2019, background): “But the RSUs are semi-trusted because that they are usually distributed along the road without strong security protection, which are vulnerable to being compromised by attackers [2], [7], [8].”
Proof-of-Stake Consensus Mechanisms for Future Blockchain Networks: Fundamentals, Applications and Opportunities (2019, methodology): “, RSUs, in the IoV networks often have to perform additional tasks, such as processing carpooling records [33] and vehicle trust rating inquiries [34].”
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities (2020, unknown): “[82].”
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding (2019, background): “As openness and transparency are the major features of the blockchain technology, extracting information from the transaction records is an intuitive way to detect phishing scams on the Ethereum platform [9]–[11].”