Privacy-preserving D2D Cooperative Location Verification

Abstract

Device-to-Device (D2D) cooperative location verification allows a device to verify its location with the help of neighbouring devices. It is especially handy in location-based services where location verification is essential. However, the exposure of device location during verification rises a big privacy risk for participants since they have to send their real-time locations to unknown verifiers holding anonymous identities. Thus, a privacy-preserving solution is urgently needed to provide verification without location disclosure. Traditional solutions based on Paillier and garbled circuits can solve the problem but also introduce high cost. Based on order-preserving encryption, we propose an efficient protocol with high-security guarantee to address this issue. Apart from rigorous security proof, complexity analysis and extensive experiments are also conducted to evaluate the proposed solution. The results compared with related work show that order-preserving encryption based mechanism achieves the best balance with regards to privacy, utility and performance requirements.

Efficient Privacy Protection Protocols for 5G-Enabled Positioning in Industrial IoT

“…Privacy-preserving positioning aims to protect the private information of the participants involved in the positioning process. A variety of privacy-preserving schemes are proposed for both indoor [17] and outdoor [18], [19]. For indoor positioning based on RSS, Konstantinidis et al [20] proposed a scheme based on bloom filter and k-anonymity.…”

“…Shu et al [18] solved the problem with a new perspective. They first formulated the localization as least-square-error (LSE) estimation and then implemented its secure computation with matrix multiplication and homomorphic encryption.…”