A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing

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外文摘要：The maturity of 5G technology has enabled crowd-sensing services to collect multimedia data over wireless network,so it has promoted the applications of crowd-sensing services in different fields,but also brings more privacy security challenges,the most commom which is privacy leakage.As a privacy protection technology combining data integrity check and identity anonymity,ring signature is widely used in the field of privacy protection.However,introducing signature technology leads to additional signature verification overhead.In the scenario of crowd-sensing,the existing signature schemes have low efficiency in multi-signature verification.Therefore,it is necessary to design an efficient multi-signature verification scheme while ensuring security.In this paper,a batch-verifiable signature scheme is proposed based on the crowd-sensing background,which supports the sensing platform to verify the uploaded multiple signature data efficiently,so as to overcoming the defects of the traditional signature scheme in multi-signature verification.In our proposal,a method for linking homologous data was presented,which was valuable for incentive mechanism and data analysis.Simulation results showed that the proposed scheme has good performance in terms of security and efficiency in crowd-sensing applications with a large number of users and data.

外文关键词：

5G networkCrowd-sensingPrivacy protectionRing signatureBatch verification

作者：

Xu Li、Gwanggil Jeon、Wenshuo Wang、Jindong Zhao

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作者单位：

School of Computer and Control Engineering,Yantai University,Yantai,264005,China

Department of Embedded Systems Engineering,Incheon National University,Academyro-119,Incheon,22012,Republic of Korea

基金：

National Natural Science Foundation of ChinaShandong Provincial Natural Science Foundation of ChinaShandong Provincial Natural Science Foundation of China

项目编号：

61972360ZR2020MF148ZR2020QF108

出版年：

2024

DOI：

10.1016/j.dcan.2023.02.015

数字通信与网络(英文)

ISSN：

年,卷(期)：2024.10(3)