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Fuzzy Rule based Enhanced Homomorphic Encryption in Cloud Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 101 - Number 8 |
| Year of Publication: 2014 |
| Authors: Randeep Kaur, Supriya Kinger |
10.5120/17706-8709
|
Randeep Kaur, Supriya Kinger . Fuzzy Rule based Enhanced Homomorphic Encryption in Cloud Computing. International Journal of Computer Applications. 101, 8 ( September 2014), 13-18. DOI=10.5120/17706-8709
Abstract
Now a day's internet services are one of the most popular services for transferring data and information. Cloud Computing is also based on internet services used for storing, transferring and many more operations related to data & work. As it is based on internet services, security is one of the major concerns in this. Numbers of methods or algorithms were implemented for securing data and information. And when the data or information is to be used it has to be decrypted so that it could be used for further process. This becomes a major concern as time consumption increased. So, to solve this issue a new fully homomorphic environment has been introduces in cloud computing. This resolves the time consumption issue but introduce a new issue that is storage space consumption. This work is introduces a new enhanced fuzzy based fully homomorphic environment. As fuzzy is a artificial intelligent system, here it is rule based intelligent system which work on 27 defined rules and helps to achieve this objective of reduces space consumption issue by using lossless compression. Comparative analysis can be done & proves that this enhanced environment is very secure and reduces burden of the network as well.
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