Vol. 13, No. 7, July 30, 2019
10.3837/tiis.2019.07.025,
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Abstract
In recent years, a cloud environment with the ability to detect illegal behaviours along with a secured data storage capability is much needed. This study presents a cloud storage framework, wherein a 128-bit encryption key has been generated by combining deoxyribonucleic acid (DNA) cryptography and the Hill Cipher algorithm to make the framework unbreakable and ensure a better and secured distributed cloud storage environment. Moreover, the study proposes a DNA-based encryption technique, followed by a 256-bit secure socket layer (SSL) to secure data storage. The 256-bit SSL provides secured connections during data transmission. The data herein are classified based on different qualitative security parameters obtained using a specialized fuzzy-based classification technique. The model also has an additional advantage of being able to decide on selecting suitable storage servers from an existing pool of storage servers. A fuzzy-based technique for order of preference by similarity to ideal solution (TOPSIS) multi-criteria decision-making (MCDM) model has been employed for this, which can decide on the set of suitable storage servers on which the data must be stored and results in a reduction in execution time by keeping up the level of security to an improved grade.
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Cite this article
[IEEE Style]
A. Majumdar, A. Biswas, K. L. Baishnab, S. K. Sood, "DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique," KSII Transactions on Internet and Information Systems, vol. 13, no. 7, pp. 3794-3820, 2019. DOI: 10.3837/tiis.2019.07.025.
[ACM Style]
Abhishek Majumdar, Arpita Biswas, Krishna Lal Baishnab, and Sandeep K. Sood. 2019. DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique. KSII Transactions on Internet and Information Systems, 13, 7, (2019), 3794-3820. DOI: 10.3837/tiis.2019.07.025.
[BibTeX Style]
@article{tiis:22169, title="DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique", author="Abhishek Majumdar and Arpita Biswas and Krishna Lal Baishnab and Sandeep K. Sood and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.07.025}, volume={13}, number={7}, year="2019", month={July}, pages={3794-3820}}