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| Reputation model for VANETs with privacy-preserving under blockchain architecture |
Chuan-hua WANG1( ),Quan ZHANG1,Hui-min WANG3,Xin XU1,*(),Ou-bo MA2 |
1. Computer and Software School, Hangzhou Dianzi University, Hangzhou 310018, China
2. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
3. School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China |
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Abstract A reputation model for VANETs with privacy-preserving under the blockchain architecture was proposed aiming at the problems of the traditional reputation mechanism in vehicular Ad-hoc networks (VANETs), such as the untrustworthy centralized reputation server, the threat to users’ privacy and the single detection scope. A distributed and trusted reputation update model for VANETs was designed based on blockchain technology. The multi-key fully homomorphic encryption algorithm was used to realize the encryption and calculation of evaluation data and reduce the risk of user privacy leakage. An adaptive adjustment strategy for the backtracking time interval was designed to prevent malicious vehicles from bypassing detection based on the update characteristics of reputation. Simulation results show that the scheme can effectively protect user privacy, and can maintain a high detection rate and a low false positive rate for malicious vehicles in different environments. The detection rate of vehicle malicious behavior in this scheme was increased by 32% compared with the traditional scheme.
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Received: 11 October 2022
Published: 21 April 2023
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Corresponding Authors:
Xin XU
E-mail: wangchuanhua12@163.com;xuxin@akey.me
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区块链架构下具有隐私保护的车联网信誉模型
针对车联网传统信誉机制存在的集中式信誉服务器不可信、威胁用户隐私及检测范围单一等问题，提出区块链架构下具有隐私保护的车联网信誉模型. 基于区块链技术，设计分布式可信的车联网信誉更新模型. 采用多密钥全同态加密算法实现评价数据的加密与计算，降低用户隐私泄露的风险. 设计回溯时间间隔自适应调整策略，防止恶意车辆基于信誉更新特性绕过检测. 仿真结果表明，该方案能够有效地保护用户隐私，对不同环境下的恶意车辆都能够保持较高的检测率和较低的误报率. 与传统方案相比，该方案针对车辆恶意行为的检出率提高了32%.
关键词：
车联网(VANETs),
隐私保护,
区块链,
信誉模型
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