Revisiting a Privacy-Preserving Location-based Service Protocol using Edge Computing

Autor: Upadhyaya, Santosh Kumar, Vivek, Srinivas
Rok vydání: 2022
Předmět:
Zdroj: ARES 2022: Proceedings of the 17th International Conference on Availability, Reliability and Security
Druh dokumentu: Working Paper
DOI: 10.1145/3538969.3544432
Popis: Location-based services are getting more popular day by day. Finding nearby stores, proximity-based marketing, on-road service assistance, etc., are some of the services that use location-based services. In location-based services, user information like user identity, user query, and location must be protected. Ma et al. (INFOCOM-BigSecurity 2019) proposed a privacy-preserving location-based service using Somewhat Homomorphic Encryption (SHE). Their protocol uses edge nodes that compute on SHE encrypted location data and determines the $k$-nearest points of interest contained in the Location-based Server (LBS) without revealing the original user coordinates to LBS, hence, ensuring privacy of users locations. In this work, we show that the above protocol by Ma et al. has a critical flaw. In particular, we show that their secure comparison protocol has a correctness issue in that it will not lead to correct comparison. A major consequence of this flaw is that straightforward approaches to fix this issue will make their protocol insecure. Namely, the LBS will be able to recover the actual locations of the users in each and every query.
Databáze: arXiv