A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing
Xu Li, Gwanggil Jeon, Wenshuo Wang, Jindong Zhao · Digital Communications and Networks · 2023
The maturity of 5G technology enabled crowd-sensing services to collect multimedia data via wireless network, so it promoted the applications of crowd-sensing services in different fields, but also brings more privacy security challenges, most general of 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 verifying multiple signatures. 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.