Accurate Range Query With Privacy Preservation for Outsourced Location-Based Service in IoT

With the maturity of Internet-of-Things technology, location-based service (LBS) is developing rapidly in intelligent terminal devices, and it brings new vitality to fields logistics, transportation, product traceability so on. The popularity LBS produces a lot spatial data, which inevitably burden storage management provider (LBSP). help cloud computing storage, outsourcing data server has become trend. However, due not trusted, will face problems disclosure query disclosure. Range common LBS, considering situation outsourcing, this article proposes an accurate range (ARQ) scheme, can realize efficient while preserving LBSP's privacy user's from being disclosed server. ARQ scheme suitable for any form without limited case that points are only integers, certain practical significance. In addition, by dividing region into atomic regions, sublinear search time ensure dynamic update data. We proved security proposed through analysis, demonstrated effectiveness experiments.