A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing
作者机构:School of Computer and Control EngineeringYantai UniversityYantai264005China Department of Embedded Systems EngineeringIncheon National UniversityAcademyro-119Incheon22012Republic of Korea
出 版 物:《Digital Communications and Networks》 (数字通信与网络(英文版))
年 卷 期:2024年第10卷第3期
页 面:645-654页
核心收录:
学科分类:0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by National Natural Science Foundation of China under Grant No.61972360 Shandong Provincial Natural Science Foundation of China under Grant Nos.ZR2020MF148,ZR2020QF108
主 题:5G network Crowd-sensing Privacy protection Ring signature Batch verification
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 *** a privacy protection technology combining data integrity check and identity anonymity,ring signature is widely used in the field of privacy ***,introducing signature technology leads to additional signature verification *** the scenario of crowd-sensing,the existing signature schemes have low efficiency in multi-signature ***,it is necessary to design an efficient multi-signature verification scheme while ensuring *** 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 *** our proposal,a method for linking homologous data was presented,which was valuable for incentive mechanism and data *** 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.