Secured Processing of Data Over Cloud using Disjoint Multi Attribute Authority Scheme for Key Generation
Praveen Banasode1, Sunita S. Padmannavar2
1Praveen Banasode*, Department of Computer Science and Engineering, Jain College of Engineering, Belagavi. India.
2Sunita Padmannavar, Department of MCA, GIT Belagavi, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 25, 2020. | Manuscript published on March 10, 2020. | PP: 2230-2233 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2932039520/2020©BEIESP | DOI: 10.35940/ijitee.E2932.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing being the extensive technology used across globe for data sharing. The data may vary from small file to a highly confidential file consisting of various sensitive information stored in it. Since the cloud services are provided by the third party vendors, users are very much concerned about the security and privacy of the data and data access details. The users wants their traceability to be hidden by the cloud vendors. The biggest challenge is to share the data in a most secured way by encrypting and also preserving the anonymity of the users in cloud from the vendors. This paper addresses the issue by proposing a multi attribute authority in key generations of users, where the few sub sets of attributes will be used by multiple attribute authorities randomly and hence masking of the selection of attributes from various authorities and providing a mechanism for efficient data distribution in cloud by preserving the anonymity of the users.
Keywords: Cloud Computing, Anonymity, User privacy and Attribute authorities.
Scope of the Article: Cloud Computing