A Novel Approach to Build Reliable and Efficient Query Services in Cloud with RASP Data Perturbation

Abstract

Inspired and motivated by the widespread development and deployment of public cloud computing infrastructures, using clouds to host data query services has become an fascinating solution for the advantages on scalability and cost-saving. However, Data owners show reluctance to share the sensitive and confidential data unless the Data integrity is guaranteed. On the other hand, a secured query service should still provide efficient query processing and significantly reduce the in-house workload to fully realize the benefits of cloud computing. We propose the random space perturbation (RASP) data perturbation method to provide secure and efficient range query and kNN query services for protected data in the cloud. The RASP data perturbation method combines order preserving encryption, dimensionality expansion, random noise injection, and random projection, to provide strong resilience to attacks on the perturbed data and queries. It also preserves multidimensional ranges, which allows existing indexing techniques to be applied to speedup range query processing. The kNN-R algorithm is designed to work with the RASP range query algorithm to process the kNN queries. We have carefully analyzed the attacks on data and queries under a precisely defined threat model and realistic security assumptions. Extensive experiments have been conducted to show the advantages of this approach on efficiency and security.

Authors and Affiliations

Mohammad Junaid| M.Tech (CSE), Nimra College of Engineering and Technology, A.P., India, V. Padmaja| Asst. Professor, Dept. of Computer Science & Engineering, Nimra College of Engineering and Technology, A.P., India

Keywords

Related Articles

Virus Attack Identification And Representation In Sensor Network

Clusters consist of circulated sensors and motor that interact with each other via wireless network. The use of open wireless intermediate and unattended deployment leaves these systems vulnerable to intelligent adve...

A bug report gives data that could help in settling a bug, with the general point of enhancing the product quality. A substantial number of bug reports could be opened amid the advancement life-cycle of a product pro...

Success Pattern Finding With Regards To Textual Content Exploration

The success pattern is mainly concentrated on Object Rank and PageRank, the latter created by Larry Page and used in msn Search Engine, were heavy costly as they required a PageRank style iterative computation over t...

Improve the Security and Usability of User Session using Continuous Authentication Protocol

Session organization of distributed web applications is usually depends on textual passwords and biometric verification at the starting of session, but here single authentication is happening. In this the problem is c...

Recognition of characters in document images using morphological operation

In this paper, we deal with the problem of document image rectification from image captured by digital cameras. The improvement on the resolution of digital camera sensors has brought more and more applications for n...

Download PDF file
  • EP ID EP16539
  • DOI -
  • Views 309
  • Downloads 10

How To Cite

Mohammad Junaid, V. Padmaja (2015). A Novel Approach to Build Reliable and Efficient Query Services in Cloud with RASP Data Perturbation. International Journal of Science Engineering and Advance Technology, 3(9), 407-410. https://europub.co.uk/articles/-A-16539