1. 暨南大学 信息科学技术学院,广东 广州 510632
2. 西安电子科技大学 网络与信息安全学院,陕西 西安 710071
3. 广东省网络与信息安全漏洞研究重点实验室,广东 广州 510643
4. 数力聚(北京)科技有限公司,北京 100020
[ "周浩(1996—),男,暨南大学硕士研究生,E-mail:[email protected];" ]
[ "马建峰(1963—),男,教授,E-mail:[email protected];" ]
刘志全(1989—),男,副研究员,E-mail:[email protected]
[ "王立波(1988—),男,讲师,E-mail:[email protected];" ]
[ "吴永东(1970—),男,教授,E-mail:[email protected];" ]
[ "范文杰(2000—),男,暨南大学硕士研究生,E-mail:[email protected]" ]
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周浩, 马建峰, 刘志全, 等. 车联网中区块链辅助的紧急消息信任评估方案[J]. 西安电子科技大学学报, 2023,50(4):148-156.
周浩, 马建峰, 刘志全, 等. 车联网中区块链辅助的紧急消息信任评估方案[J]. 西安电子科技大学学报, 2023,50(4):148-156. DOI: 10.19665/j.issn1001-2400.2023.04.015.
车联网因其在提高道路安全和交通效率方面存在的巨大潜力吸引了广泛关注。然而,在车联网中,车辆对紧急消息的信任评估需要同时满足低时延和高准确性。为解决现有车联网信任管理方案在紧急消息信任评估过程中时延高、准确性低的问题,提出一种车联网中区块链辅助的紧急消息信任评估方案。在该方案中,首先使用区块链技术分布式存储车辆信任值,实现车辆信任值的可信存储;接着设计预先缓存策略和查询后缓存策略,将其分别与智能合约结合设计信任值查询算法,以低时延地查询车辆信任值;然后基于所提信任值查询算法,引入车辆信任值并结合车辆位置以及消息新鲜度作为紧急消息信任评估的参考因子;最终实现紧急消息的低时延、高精准信任评估。与现有方案相比,所提方案的信任值查询效率提升了约79.9%~98.9%,信任评估准确率提升了约4.71%。此外,笔者还对比了所提两种缓存策略,其中预缓存策略的查询效率相比查询后缓存策略提升约56.9%,但存储空间开销增加约23.7%~86.2%。
Vehicular ad-hoc networks (VANET) have attracted a lot of attention because of their great potential to improve road safety and traffic efficiency.However,in the VANET,the trust assessment of emergency messages by vehicles needs to meet both low latency and high accuracy.In order to solve the problem of high latency and low accuracy of the existing trust management scheme in the VANET in the process of emergency message trust assessment,the author proposes a scheme for blockchain-assisted emergency message trust evaluation in the VANET.In this scheme,first,the blockchain technology is used to store the vehicle trust value in a distributed manner to realize trusted storage of the vehicle trust value; next,the pre-caching strategy and post-query caching strategy are designed,which are combined with the smart contract to design the trust value query algorithm respectively to query the vehicle trust value with low latency; and then,based on the proposed query algorithm,vehicle trust values are introduced,and vehicle location and message freshness are combined as reference factors for emergency message trust evaluation.Finally,low latency and high accuracy in emergency message trust evaluation is achieved.Compared with the existing solutions,the proposed solution improves the trust value query efficiency by about 79.9%~98.9% and the trust evaluation accuracy by about 4.71%.In addition,the author compares the two proposed caching strategies,with the pre-caching strategy improving the query efficiency by about 56.9% but increasing the storage space overhead by about 23.7%~86.2% as compared with the post-query caching strategy.
车联网紧急消息区块链智能合约信任评估
vehicular ad-hoc networksemergency messageblockchainsmart contracttrust evaluation
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