A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security

Author:

Selvarajan Shitharth1,Shankar Achyut234,Uddin Mueen5,Alqahtani Abdullah Saleh6,Al‐Shehari Taher6,Viriyasitavat Wattana7

Affiliation:

1. School of Built Environment, Engineering and Computing Leeds Beckett University Leeds UK

2. Department of Cyber Systems Engineering, WMG, University of Warwick Coventry UK

3. Centre of Research Impact and Outreach, Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

4. School of Computer Science Engineering Lovely Professional University Phagwara Punjab India

5. College of Computing and IT University of Doha for Science and Technology Doha Qatar

6. Computer Skills, Self‐Development Skills Department, Deanship of Common First Year King Saud University Riyadh Saudi Arabia

7. Chulalongkorn Business School, Faculty of Commerce and Accountancy Chulalongkorn University Bangkok Thailand

Abstract

AbstractThe most important and difficult challenge the digital society has recently faced is ensuring data privacy and security in cloud‐based Internet of Things (IoT) technologies. As a result, many researchers believe that the blockchain's Distributed Ledger Technology (DLT) is a good choice for various clever applications. Nevertheless, it encountered constraints and difficulties with elevated computing expenses, temporal demands, operational intricacy, and diminished security. Therefore, the proposed work aims to develop a Decentralized Identifiable Distributed Ledger Technology‐Blockchain (DIDLT‐BC) framework that is intelligent and effective, requiring the least amount of computing complexity to ensure cloud IoT system safety. In this case, the Rabin algorithm produces the digital signature needed to start the transaction. The public and private keys are then created to verify the transactions. The block is then built using the DIDLT model, which includes the block header information, hash code, timestamp, nonce message, and transaction list. The primary purpose of the Blockchain Consent Algorithm (BCA) is to find solutions for numerous unreliable nodes with varying hash values. The novel contribution of this work is to incorporate the operations of Rabin digital data signature generation, DIDLT‐based blockchain construction, and BCA algorithms for ensuring overall data security in IoT networks. With proper digital signature generation, key generation, blockchain construction and validation operations, secured data storage and retrieval are enabled in the cloud‐IoT systems. By using this integrated DIDLT‐BCA model, the security performance of the proposed system is greatly improved with 98% security, less execution time of up to 150 ms, and reduced mining time of up to 0.98 s.

Publisher

Wiley

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