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A novel DNA-inspired encryption strategy for concealing cloud storage

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Abstract

Over the last few years, the need of a cloud environment with the ability to detect illegal behaviours along with a secured data storage capability has increased largely. This study presents such a secured cloud storage framework comprising of a deoxyribonucleic acid (DNA) based encryption key which has been generated to make the framework unbreakable, thus ensuring a better and secured distributed cloud storage environment. Furthermore, this work proposes a novel DNA-based encryption technique inspired by the biological characteristics of DNA and the protein synthesis mechanism. The introduced DNA based model also has an additional advantage of being able to decide on selecting suitable storage servers from an existing pool of storage servers on which the data must be stored. A fuzzy-based technique for order of preference by similarity to ideal solution (TOPSIS) multi-criteria decisionmaking (MCDM) model has been employed to achieve the above-mentioned goal. This can decide the set of suitable storage servers and also results in a reduction in execution time by keeping up the level of security to an improved grade. This study also investigates and analyzes the strength of the proposed S-Box and encryption technique against some standard criteria and benchmarks, such as avalanche effect, correlation coefficient, information entropy, linear probability, and differential probability etc. After the avalanche effect analysis, the average change in cipher-text has been found to be 51.85%. Moreover, thorough security, sensitivity and functionality analysis show that the proposed scheme guarantees high security with robustness.

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Acknowledgements

This publication was an outcome of the R&D work undertaken project under the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Government of India, being implemented by Digital India Corporation.

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, NIT Silchar, Silchar, Assam, 788010, India

    Abhishek Majumdar, Arpita Biswas & Krishna Lal Baishnab

  2. National Informatics Centre, Agartala, Tripura, 799001, India

    Atanu Majumder

  3. Computer Science & Informatics, Central University of Himachal Pradesh, Dharamsala, HP, 176206, India

    Sandeep Kumar Sood

Authors
  1. Abhishek Majumdar
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  2. Arpita Biswas
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  3. Atanu Majumder
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  4. Sandeep Kumar Sood
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  5. Krishna Lal Baishnab
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Corresponding author

Correspondence to Abhishek Majumdar.

Additional information

Abhishek Majumdar is currently pursuing his PhD from National Institute of Technology Silchar, India under the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Government of India, being implemented by Digital India Corporation. His research areas are cloud computing, information security, optimization and machine learning.

Arpita Biswas is currently pursuing her PhD from National Institute of Technology Silchar, India under the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Government of India, being implemented by Digital India Corporation. Her research areas are information security, Integration of IoT with cloud computing and optimization.

Atanu Majumder received his MTech degree in Computer Science and Engineering from National Institute of Technology Agartala, India. Presently he is appointed as Scientist — A in National Informatics Centre, India. His research areas are information security and cryptography.

Sandeep Kumar Sood is currently working as Head & Professor, Computer Science & Informatics, Central University of Himachal Pradesh, India. He has 17 years of teaching and 9 years of research experience. He has more than 50 research publications in highly reputed journals. His research areas are Cloud Computing, IoT, Big Data Analytics, Information Security, Cyber Physical System.

Krishna Lal Baishnab is currently working as Associate Professor, Electronics and Communication Engineering, NIT Silchar, India. He has more than 20 years of teaching experience and published more than 50 articles in various reputed journals and international conferences. His research areas are Analog VLSI and RF design: design of continuous/discrete time analog circuit for bio-medical applications, RF CMOS circuit design and wireless systems.

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Majumdar, A., Biswas, A., Majumder, A. et al. A novel DNA-inspired encryption strategy for concealing cloud storage. Front. Comput. Sci. 15, 153807 (2021). https://doi.org/10.1007/s11704-019-9015-2

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  • DOI: https://doi.org/10.1007/s11704-019-9015-2

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