Outsourced Data By Using Hamming Joins
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 10
Abstract
certain properties) in an outsourced relational database framework with computational privacy and low overhead – a first, to the best of our knowledge. In an outsourced database framework, clients place data management responsibilities with specialized service providers. Of essential concern in such frameworks is data privacy. Potential clients are reluctant to outsource sensitive data to a foreign party without strong privacy assurances beyond policy “fine prints”. We experimentally evaluate the main overhead components and show they are reasonable. We illustrate via a set of r ele-vant instances of JOIN predicates, including: range and equality (e.g., for geographical data), Hamming distance (e.g., for DNA matching) and semantics (i.e., in health-care scenarios – m apping antibiotics to bacteria). The initial client computation overhead for 100000 data items is around 5 minutes and our privacy mechanisms can sustain theoretical throughputs of several million predicate evaluations per second, even for an un-optimized Open SSL based implementation.
Authors and Affiliations
Vijay J. Chaudhari
Keywords
Related Articles
- EP ID EP95274
- DOI -
- Views 62
- Downloads 0
SHEAR CAPACITY OF PRE-STRESSED HOLLOW CORE SLABS UNDER CONCENTRATED LOAD
Precast pre-stressed hollow core (PHC) slabs are considered one of the best structural systems capable of covering large spans with minimum overall thickness and weight, and its ease of manufacturing and installat...
EVALUATION OF INTERA CTIVE AND NON - INTERACTIVE SEGMENTA TION ALGORITHMS
This paper presents the evaluation framework for both Interactive and Non - interactive segmentation. For the evaluation of interactive segmentation, four algori thms, SRG, BPT, IGC and SIOX are considered. These a...
Apriori Algorithm for Vertical Association Rule Mining
Association rule mining is one of the important concepts in data mining domain for analyzing customer’s data. The association rule mining is a process of finding correlation among the items involved in different t...
OBJECT DETECTION AND TRACKING ALGORITHM FOR LOW VISION VIDEO
We propose a general framework for Object Recognition into regions and objects. In this framework, the detection and recognition of objects proceed simultaneously with image segmentation in a competitive and coope...
EFFECTIVE DATA MINING USING NEURAL NETWORKS
Classification is one of the data mining problems receiving great attention recently in the database community. This paper presents an approach to discover symbolic classification rules using neural networks. Neural net...