LS-RQ: A Lightweight and Forward-Secure Range Query on Geographically Encrypted Data

In the era of cloud computing, to achieve convenient location-based service (LBS), consumers such as users, companies, and organizations prefer subcontracting massive geographical data public clouds after encryption for privacy security. However, numerous harmful cyber-attacks happen on those in an unpredicted hourly manner. To alleviate concerns, various secure query schemes encrypted have been proposed literature. As a fundamental LBSs, forward-secure range has not well investigated. address this issue, we propose lightweight (LS-RQ) geographically data, which soundly balances between security efficiency. Promisingly, design index mechanism manage clouds, while compromising data. Moreover, our LS-RQ provide approach on-the-fly. We also rigorously prove that is forward-secure. Finally, extensive experimental studies are performed both real synthetic datasets. By observation, highly efficient realistic environments. Particularly, datasets with about 1000000 solution takes strictly less than second.