S. Ayyasamy, K. Senthil Kumar, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India.
S. T. Balaji, Chief Operating Officer, Sarobal Soft Solutions, Kasaragod, Kerala, India.
DOI : 01.0401/ijaict.2015.04.01
International Journal of Advanced Information and Communication Technology
Received On : September 18, 2018
Revised On : October 15, 2018
Accepted On : November 10, 2018
Published On : December 05, 2018
Volume 05, Issue 12
Pages : 992-996
Abstract
The number of user in cloud computing are increasing tremendously due to its advantage of providing flexible storage requirement. The users are started to share their sensitive information through the cloud due to its nature of user friendly environment. The security of the data has to be assured to the users when storing their data’s into the cloud server. In the existing work an expressive, efficient and revocable data access control scheme for multi-authority cloud storage systems is proposed to support the access control by using attributes gathered from multiple authorities. The users those who are having matching attributes as in the access policy defined in the cipher text can retrieve the entire data content. It aims to allow the users with eligible attributes to decrypt the entire data stored in the cloud server. However it cannot provide the promisable data access control to the users due to the presence of malicious attribute authorities. In the case of malicious attribute authority, the data security may be violated. In our work a novel approach namely Attribute Authority Revocation based trapdoor commitment scheme is introduced. This algorithm provides a better way to find out the malicious attribute authorities by making a commitment before exchanging their information.
Keywords
Attributes, Cipher text policy, Access control.
Cite this article
S. Ayyasamy, K. Senthil Kumar, S. T. Balaji, “Privacy Enhanced Data Access Control for Users Over Multi-Authority Cloud Storage ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.997-1000, December 05, 2018.
Copyright
© 2018 S. Ayyasamy, K. Senthil Kumar, S. T. Balaji. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.