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1. 西北师范大学计算机科学与工程学院,甘肃 兰州 730070
2. 深圳技术大学大数据与互联网学院,广东 深圳 518118
[ "杨小东(1981- ),男,甘肃天水人,博士,西北师范大学教授,主要研究方向为代理重签名和云计算安全" ]
[ "席婉婷(1997- ),女,陕西铜川人,西北师范大学硕士生,主要研究方向为车联网安全与隐私保护" ]
[ "王嘉琪(1997- ),女,甘肃兰州人,西北师范大学硕士生,主要研究方向为可搜索加密与隐私保护" ]
[ "陈艾佳(1995- ),女,甘肃兰州人,西北师范大学硕士生,主要研究方向为网络与信息安全" ]
[ "王彩芬(1963- ),女,河北安国人,博士,深圳技术大学教授,主要研究方向为密码学与信息安全" ]
网络出版日期:2021-12,
纸质出版日期:2021-12-25
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杨小东, 席婉婷, 王嘉琪, 等. 基于签密和区块链的车联网电子证据共享方案[J]. 通信学报, 2021,42(12):236-246.
Xiaodong YANG, Wanting XI, Jiaqi WANG, et al. Electronic evidence sharing scheme of Internet of vehicles based on signcryption and blockchain[J]. Journal on communications, 2021, 42(12): 236-246.
杨小东, 席婉婷, 王嘉琪, 等. 基于签密和区块链的车联网电子证据共享方案[J]. 通信学报, 2021,42(12):236-246. DOI: 10.11959/j.issn.1000-436x.2021237.
Xiaodong YANG, Wanting XI, Jiaqi WANG, et al. Electronic evidence sharing scheme of Internet of vehicles based on signcryption and blockchain[J]. Journal on communications, 2021, 42(12): 236-246. DOI: 10.11959/j.issn.1000-436x.2021237.
针对车联网电子证据共享中的隐私和安全问题,提出了一种基于签密和区块链的车联网电子证据共享方案。所提方案将证据密文和证据报告分别存储于云服务器和区块链,以实现电子证据的安全存储与共享。利用基于身份的签密技术保证了数据的机密性,运用代理重加密技术实现了保险公司对车联网电子证据的共享。引入聚合签名技术,降低了多个车辆用户签名验证的计算开销;采用信誉激励机制提高了电子证据的可靠性。安全性分析表明,所提方案满足数据的机密性、完整性、可验证性和不可伪造性。与现有方案相比,所提方案在计算开销方面具有一定优越性。
To solve the problems of privacy and security in the electronic evidence sharing of Internet of vehicles, a sharing scheme of electronic evidence in the Internet of vehicles based on signcryption and blockchain was proposed.The evidence ciphertext and the evidence report were stored in the cloud server and the block chain respectively to realize the secure storage and sharing of the electronic evidence.The identity-based signcryption technology was used to ensure the confidentiality of data, and the proxy re-encryption technology was used to realize the sharing of electronic evidence of Internet of vehicles by insurance companies.The aggregation signature technique was introduced to reduce the computation cost of multi vehicle user signature verification.The reliability of electronic evidence was improved by using credibility incentive mechanism.Security analysis shows that the proposed scheme achieves data confidentiality, integrity, verifiability and unforgeability.Compared with the existing schemes, the proposed scheme has certain advantages in terms of computational overhead.
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