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Title: Hybrid probabilistic triple encryption approach for data security in cloud computing

Authors: Vartika Kulshrestha; Seema Verma; C. Rama Krishna

Addresses: Department of Computer Science and Engineering, Alliance University, Bangalore, Karnataka, India ' Department of Electronics, Banasthali Vidyapith, Rajasthan, India ' Department of Computer Science and Engineering, NITTTR Chandigarh, India

Abstract: Cloud computing (CC) is a popular paradigm with dynamic capabilities where statistics are maintained, managed, and backed up remotely. It allows consumers as well as corporations over a web network to use the services as per demand and requirement and increases the competences of the hardware resources by optimal and shared utilisation. However, information security and privacy have become a crucial issue that affects the triumph of CC. First and foremost, information storage at cloud builds the risk of information leak and illegal access. Second, cloud servers are turning into the objectives of assaults and interruptions which challenge cloud security. Third, information management tasks, like, information storage, reinforcement, migration, removal, update, exploration, query and admittance in the cloud may not be completely trusted by its proprietors. Therefore, to enhance security, a hybrid security technique for CC using a probabilistic approach has been proposed. The proposed framework facilitates the cloud consumer with information security reassurance. Our elucidation is built on 'hybrid probabilistic triple (RSA and AES) encryption' approach and this methodology is used to encode-decode the information before porting on a cloud with a hash value of each and delivers the data integrity, confidentiality and user authenticity, along with, a review of different privacy and security issues is also discussed.

Keywords: cloud computing; security; RSA; AES; authenticity.

DOI: 10.1504/IJAIP.2022.121035

International Journal of Advanced Intelligence Paradigms, 2022 Vol.21 No.1/2, pp.158 - 173

Received: 17 May 2018
Accepted: 29 Apr 2019

Published online: 23 Feb 2022 *

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