privacy-preserving data processing system. In this paper, we focus on range queries and a buck-etization based approach proposed in [4] to support them in the DAS model. In the bucketization ap-proach, an attribute domain is partitioned into a set of buckets each of which is identi ed by a tag. These bucket tags are maintained as an index
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. Vol. 4, Issue 2, February 2015 Certain Investigations on A PRIVACY PRESERVING INDEX FOR RANGE QUERIES Transform the it operation of corporation is an emerging data management techniques. There were a privacy issues in database outsourcing. The data owners must trust the service providers is limited. In this paper author introduced a Privacy-Preserving Aggregate Queries for Optimal Location propose a privacy-preserving range query protocol to find users within a range with non-zero probability. In In [ 4 ] , each user has a cloaked region to hide her exact location, and the probability of being within a range depends on the intersection of the cloaked regions. EPLQ: Efficient Privacy-Preserving Location-Based Query
Specifically, we analyze the data partitioning (bucketization) technique and algorithmically develop this technique to build privacy-preserving indices on sensitive attributes of a relational table. Such indices enable an untrusted server to evaluate obfuscated range queries with minimal information leakage.
Specifically, we analyze the data partitioning (bucketization) technique and algorithmically develop this technique to build privacy-preserving indices on sensitive attributes of a relational table. Such indices enable an untrusted server to evaluate obfuscated range queries with minimal information leakage. CiteSeerX — A Privacy-Preserving Index for Range Queries CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Database outsourcing is an emerging data management paradigm which has the potential …
Index T erms —privacy-preserving, Boolean range queries, en- non-leaf node of the index tree, it stores the token vectors of. its bounding area and a Bloom filter B of all textual keywords.
Mar 22, 2018 · In this paper, we investigate new privacy-preserving indexing and query processing protocols which meet a number of desirable properties, including the multi-keyword query processing with conjunction and disjunction logic queries, practically high privacy guarantees with adaptive chosen keyword attack (CKA2) security and forward privacy, the