An Efficient Verification of Data Integrity and Keyword Search for Multi Data Owners by Preserving Privacy in Cloud
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2018 by IJCTT Journal | ||
| Volume-59 Number-2 |
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| Year of Publication : 2018 | ||
| Authors : Jincy Easow, Prof. Jisha P Abraham | ||
| DOI : 10.14445/22312803/IJCTT-V59P114 |
Jincy Easow, Prof. Jisha P Abraham "An Efficient Verification of Data Integrity and Keyword Search for Multi Data Owners by Preserving Privacy in Cloud". International Journal of Computer Trends and Technology (IJCTT) V59(2):85-89, May 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract
Cloud is an emerging technology which is widely used today for various applications. By going day by day, the size of the data to be processed, stored, and manipulated also increases frequently. Such giant amount of data from various areas are necessary to store in a perfectly secured platform. It is impractical to maintain such huge amount of data in a single machine or hard disk. In such situation, cloud is the platform in which can store any amount of data. Major advantage of using cloud is that the stored data can be access by the users at anytime, anywhere and from any device. But security of the residing data is the major problem with the cloud. Due to this reason, most of the users are reluctant to outsource their documents to the cloud in spite of the benefits. This problem can be avoided by encrypt the data before outsource it to the cloud. By doing so, the security of the documents can be improved to a level best. While doing so, searching over the encrypted file is another problem faced by the users. The proposed system introduced a novel approach to search data over encrypted files without affecting the privacy and security of the file to be outsourced by multiple data owners. For the effective implementation of encrypted searching of data by using paillier homomorphic encryption algorithm, which provides the ability to make computations over the encrypted data without decryption.
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Keywords
Cloud Computing, Paillier Homomorphic Encryption.