具有隐私保护的车联网空间众包任务分配方法

为了解决传统车联网空间众包中集中式空间众包服务器不可信和易遭受攻击给用户隐私带来极大威胁的问题，提出区块链架构下具有隐私保护的车联网空间众包任务分配方法. 基于区块链技术，设计分布式可信的车联网空间众包系统. 采用多密钥全同态加密算法实现任务分配，支持对不同车辆用户 (密钥) 的密文数据进行任务分配，降低隐私泄露的可能性. 实验分析表明，采用该方法能够有效地保护用户隐私信息，任务分配的计算时间开销与现有研究方法相比下降了34.3%，提高了任务分配的效率.

Task allocation method for Internet of vehicles spatial crowdsourcing with privacy protection

A task allocation method for Internet of vehicles spatial crowdsourcing with privacy protection was proposed under the blockchain architecture in order to solve the problem that centralized spatial crowdsourcing server in the traditional spatial crowdsourcing of Internet of vehicles was untrusted and vulnerable to malicious attacks, which posed a great threat to users’ privacy. A distributed and trusted spatial crowdsourcing system of Internet of vehicles was designed based on the blockchain technology. The multi-key homomorphic encryption algorithm was adopted to distribute tasks, which supported task allocation of location ciphertext data of different vehicle users (keys). Then the possibility of privacy disclosure of vehicle users was reduced. The experimental results show that the proposed method can effectively protect users’ privacy information, reduce the computing overhead of task allocation by 34.3% compared with the existing methods, and improve the efficiency of task allocation.