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

被引：1

作者：

Liu X.-J. ^{[1
]}

Wang H.-M. ^{[1
]}

Xia Y.-J. ^{[2
]}

Zhao S.-W. ^{[1
]}

机构：

[1] Key Laboratory of Cryptography of Zhejiang Province, School of Information Science and Technology, Hangzhou Normal University, Hangzhou

[2] College of Computer Science and Technology, Zhejiang University, Hangzhou

来源：

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2022年 / 56卷 / 07期

关键词：

blockchain; Internet of vehicles; privacy protection; spatial crowdsourcing; task allocation;

D O I：

10.3785/j.issn.1008-973X.2022.07.001

中图分类号：

学科分类号：

摘要：

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. © 2022 Zhejiang University. All rights reserved.

引用

页码：1267 / 1275

页数：8

共 30 条

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