An Analysis of Data Privacy Techniques in Cloud Computing
Main Article Content
Abstract
Cloud Computing is one of the emerging technologies in Computer Science. Cloud provides various types of services to us. Database Outsourcing is a recent data management paradigm in which the data owner stores the confidential data at the third party service provider’s site. The service provider is responsible for managing and administering the database and allows the data owner and clients to create, update, delete and access the database. There are chances of hampering the security of the data due to untrustworthiness of service provider. So, to secure the data which is outsourced to third party is a great challenge. The major requirements for achieving security in outsourced databases are confidentiality, privacy, integrity, availability. To achieve these requirements various data confidentiality mechanisms like fragmentation approach, High-Performance Anonymization Engine approach etc are available. In this paper, various mechanisms for implementing Data Confidentiality in cloud computing are analyzed along with their usefulness in a great detail.
Keywords: Cloud computing, Data Confidentiality, Integrity, Outsourced Databases, Performance
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.