International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
A Study of Privacy Preserving Methods for kNN Computation on Encrypted Data
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Author Name: |
Gaikwad Vijayendra Sanjay, Dr. Khan Rahat Afreen |
Abstract: |
Abstract
With the emergence of cloud computing as platform for
deploying, processing and carrying out large- scale
operations, users now have the opportunity to outsource their
data as well as the data management tasks to the cloud.
However, due to the rise of various privacy issues, sensitive
data need to be encrypted before outsourcing it to the cloud. It
is a challenging job to process database queries over encrypted
data without the cloud disturbing the confidentiality of the
data and user’s query. Moreover, for specific applications
such as classification of user query record, the confidentiality
of the data access patterns also needs to be maintained. In this
paper, we provide an overview on how the issue of
maintaining privacy of a database query is handled when it is
triggered for an encrypted database. Also, we focus on knearest
neighbor (kNN) computation problem on an encrypted
database. We also review the different techniques and
supporting scheme that are incorporated for dealing with this
issue.
Keywords: Encrypted database, Homomorphic
encryption, kNN computation, Privacy preservation. |
Cite this article: |
Gaikwad Vijayendra Sanjay, Dr. Khan Rahat Afreen , "
A Study of Privacy Preserving Methods for kNN Computation on Encrypted Data " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 4, Issue 6, November - December 2015 , pp.
216-221 , ISSN 2278-6856.
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