Trust Management Solution for Internet of Vehicles Based on Logistic Regression and Blockchain

doi:10.3778/j.issn.1002-8331.2208-0217

Abstract

Abstract: The Internet of vehicles enables vehicles to disseminate information to improve traffic safety and efficiency. However, in an untrusted environment, how to effectively implement trust assessment and instantly update consistent trust values among multiple road side units (RSUs) remains a challenging problem. Trust management solution for internet of vehicles based on logistic regression and blockchain is proposed. First, the vehicle can calculate the direct trust value and the recommended trust value for it through the historical behavior of the communication partner, and use the logistic regression algorithm to calculate the comprehensive trust value, and then upload it to the nearby RSU, which will package the data into a block. Second, a hybrid consensus mechanism based on proof of stake (PoS) and practical Byzantine fault tolerance (PBFT) is proposed. RSUs with larger stakes are more likely to be selected as miners, and work together with authorized RSUs to verify the correctness of blocks, making the blocks with large changes in trust value can be published instantly. Finally, safety analysis and performance simulation show that the scheme is effective and feasible in calculating and storing vehicle trust value.

Key words: Internet of vehicles, blockchain, trust assessment, consensus mechanism

摘要： 车联网使车辆能够传播信息，以提高交通安全和效率。然而，在不可信环境下，如何有效地实施信任评估并即时更新多个路边单元（RSU）之间一致的信任值仍是具有挑战性的问题。因此，提出了一种基于逻辑回归与区块链的车联网信任管理方案。车辆可以通过通信对方的历史行为，为其计算直接信任值和推荐信任值，并利用逻辑回归算法计算综合信任值，然后上传到附近的RSU，RSU将这些数据打包成一个区块。提出了基于权益证明（PoS）和实用拜占庭容错（PBFT）的混合共识机制，权益越大的RSUs更容易被选为矿工，并与授权的RSUs一起工作验证区块的正确性，使得信任值变化较大的区块能够即时发布。安全性分析及性能仿真表明该方案在计算和存储车辆信任值方面是有效可行的。

关键词: 车联网, 区块链, 信任评估, 共识机制

WANG Chundong, GUO Ruyue. Trust Management Solution for Internet of Vehicles Based on Logistic Regression and Blockchain[J]. Computer Engineering and Applications, 2024, 60(1): 281-288.

王春东, 郭茹月. 基于逻辑回归与区块链的车联网信任管理方案[J]. 计算机工程与应用, 2024, 60(1): 281-288.

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