Efficient FragSecure Framework for Data Security and Fragmentation in Cloud Computing
Ashima Narang1, Deepali Gupta2, AmandeepKaur3

1Ashima Narang, Department of Computer Science, Maharishi Markandeshwar University, (Sadopur), India.
2Deepali Gupta, Chitkara University Institute of Engineering and Technology, Chitkara University, (Punjab), India.
3AmandeepKaur, Department Computer Science, Maharishi Markandeshwar University, (Sadopur), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1011-1014 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5437058719/19©BEIESP
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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: With the development in the technology, the risks of the threats and theft are increases day-by-day and this will put question mark in user’s mind while using the different technologies like Cloud. The demand of the Cloud is also increasing due to its different services so there is a need to prevent the cloud network from external or internal attacks with the objective to make it more secure to provide better and efficient services. The number of security mechanisms was proposed for security where some of them use a concept of fragmentation that divides the data into subparts and then encrypt and store each part into different servers. These mechanisms are good enough to provide security but the problem of data loss due to fragmentation was introduced. So, to cop up this problema novel framework is designed with secure environment to protect cloud from theft of the data/tasks given by users and also reduces the data loss factor. In this framework,data is divided into fragments on the basis of different criteria to control data loss and then each fragment is encrypted using hybrid security algorithm. This framework is simulated on local cloud environment with a large amount of data storage where data is of different types like, image, audio and text data. The results achieved is better as compare to the existing frameworks in terms of Data Loss, Storage time, and Size of the data after encryption.
Keyword: Cloud Computing, Security, Fragmentation, Data Storage, Hybrid Encryption.
Scope of the Article: Cloud Computing