DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique
Abhishek Majumdar, Arpita A. Biswas, Krishna Lal Baishnab, Sandeep K. Sood · KSII Transactions on Internet and Information Systems · 2019
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.