A Privacy-Preserving Index for Range Queries

Nov 29, 2012 · We demonstrate VERDICT, a location-based range query service featuring the privacy-preserving authentication ca- pability. VERDICT adopts the common data-as-a-service (DaaS) model, which consists Wireless Sensor Networks (WSNs) are increasingly involved in many applications. However, communication overhead and energy efficiency of sensor nodes are the major concerns in WSNs. In addition, the broadcast communication mode of WSNs makes the network vulnerable to privacy disclosure when the sensor nodes are subject to malicious behaviours. Based on the abovementioned issues, we present a In this paper, we propose privacy-preserving solutions in which location-based queries can be answered by data owners without sharing their data with other businesses and without accessing sensitive information such as the customer list of the businesses that send the query. Nov 12, 2015 · Xiong et al. proposed a closet neighbour classification method based on SMC techniques to resolve the privacy challenges in few stages including the pf selection of the privacy preserving closet neighbour and the categorization of privacy preserving. The proposed algorithm is balanced in terms of accuracy, performance, and privacy protection. To reduce query latency, we further design a privacy-preserving tree index structure in EPLQ. Detailed security analysis confirms the security properties of EPLQ. In addition, extensive experiments are conducted, and the results demonstrate that EPLQ is very efficient in privacy preserving spatial range query over outsourced encrypted data.

preserving tree index structure in efficient privacy preserving location. The detail security analysis will confirm the security properties of efficient privacy preserving location. By performing various experiment we conclude that EPLQ is very efficient in privacy preserving spatial range query over out sourced data.

Efficient privacy-preserving location-based query over outsourced encrypted data paper, we have proposed EPLQ, an efficient smartphone spatial range query solution that preserves user location privacy and ensures the confidentiality of LBS data. Realize EPLQ, we designed an IPRE and a novel, privacy-preserving index tree called ss-tree.

Privacy-preserving max/min query in two-tiered wireless

Two-Party Computation Model for Privacy-Preserving Queries a wide range of privacy-preserving techniques for answer-ing different types of queries [3, 4, 13, 23, 24, 27] with-out revealing information of any individual database which is irrelevant to the queries1. While many of these tech-niques offer strong privacy guarantees, they do not scale well for large databases and wide-area systems. The under- IEEE/ACM TRANSACTIONS ON NETWORKING 1 Privacy- and Index Terms—Integrity, privacy, range queries, sensor networks. I. INTRODUCTION WIRELESS sensor networks (WSNs) have been widely deployedforvariousapplications,suchas environment sensing, building safety monitoring, earthquake predication, etc. In this paper, we consider a two-tiered sensor network