RETRACTED: Query processing over secure perturbed data over hybrid cloud
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 28 December 2020
Issue publication date: 7 January 2022
Retraction notice
The publishers of the International Journal of Intelligent Unmanned Systems wish to retract the article; Vulapula, S.R. and Malladi, S. (2022), “Query processing over secure perturbed data over hybrid cloud”, International Journal of Intelligent Unmanned Systems, Vol. 10 No. 1, pp. 22-33. https://doi.org/10.1108/IJIUS-09-2020-0054
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions.
The authors of this paper would like to note that they do not agree with the content of this notice.
The publishers of the journal sincerely apologize to the readers
Abstract
Purpose
Hybrid cloud composing of public and private cloud is seen as a solution for storage of health care data characterized by many private and sensitive data. In many hybrid cloud-based solutions, the data are perturbed and kept in public cloud, and the perturbation credentials are kept in private cloud.
Design/methodology/approach
Hybrid cloud is a model combing private and public cloud. Security for the data is enforced using this distribution in hybrid clouds. However, these mechanisms are not efficient for range query and retrieval of data from cloud. In this work, a secure and efficient retrieval solution combining K-mean clustering, geometric perturbation and R-Tree indexing is proposed for hybrid clouds.
Findings
Compared to existing solution, the proposed indexing on perturbed data is able to achieve 33% reduced retrieval time. The security of indexes as measured using variance of differences was 66% more than existing solutions.
Originality/value
This study is an attempt for efficient retrieval of data with range queries using R-Tree indexing approach.
Keywords
Citation
Vulapula, S.R. and Malladi, S. (2022), "RETRACTED: Query processing over secure perturbed data over hybrid cloud", International Journal of Intelligent Unmanned Systems, Vol. 10 No. 1, pp. 22-33. https://doi.org/10.1108/IJIUS-09-2020-0054
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited