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

Autor: Xu Li, Gwanggil Jeon, Wenshuo Wang, Jindong Zhao
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Digital Communications and Networks, Vol 10, Iss 3, Pp 645-654 (2024)
Druh dokumentu: article
ISSN: 2352-8648
DOI: 10.1016/j.dcan.2023.02.015
Popis: 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.
Databáze: Directory of Open Access Journals