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Noname manuscript No. (will be inserted by the editor) SecDM: Privacy-preserving Data Outsourcing Framework with Differential Privacy Gaby G. Dagher · Benjamin C. M providing privacy guarantees. The problem of privacy-preserving reachability query was studied in the literatures [26,27]. But all the work did not deal with the problem of ranked neighbor query over encrypted graph data in the cloud. To solve this problem, in this paper, we propose a solution to perform privacy-preserving ranked neighbor Sep 02, 2018 · In this project, we have developed a new 6-DoF camera localization technique that conceals the content of the query image when localization is performed in a cloud-based service. In this way, we enhance the user's privacy. This is a follow up of our previous work on privacy preserving camera localization where we developed a technique to conceal the 3D point cloud map which is needed for for data reply verification. (2) We propose a privacy-preserving storage scheme, in which only coarse information is disclosed to storage nodes while data can still be processed upon the range query. (3) We introduce an encoding scheme, which allows the sink to verify the reply of a range query with small extra overheads incurred.
Privacy and Integrity Preserving Range Queries in Sensor
data and queries issued by sink, and (2) the storage and power consumption for both grows exponentially with number of dimensions of data. D. Approach and Key Contribution A novel integrity and privacy preserving range queries protocol, SafeQ is used. SafeQ and S&L are two fundamentally different protocols. SafeQ preserves
Nov 27, 2019 · A privacy-preserving index for range queries. In: Thirtieth International Conference on Very Large Data Bases VLDB Endowment, pp 720–731. ACM, Toronto (2004)
We present a range of novel attacks which exploit information about the volume of answers to range queries in encrypted database. Our attacks rely on a strategy which is simple yet robust and effective. We illustrate the robustness of our strategy in a number of ways. Secure Multidimensional Range Queries over Outsourced Data range queries was developed by the authors of the current paper in context of single dimensional range queries over numeric attributes [45]. Existing approaches to privacy-preserving range queries: Range queries over data with numeric attributes is an impor-tant class of queries that has received a lot of attention in the literature [45,3,55,11 A Privacy-Preserving Spatial Index for Spatial Query Figure 1 shows that the entire map has been quartered into CR 1 ~CR 4 and that three objects exist in each CR i.It is assumed that to protect his/her location, the q selects CR 1 and CR 2 and finds two objects that are closest to himself/herself. Through the method outlined in [], when two objects are searched from the center of CR i, the resultant values of CR 1 and CR 2 are and , respectively.