Title: IoT data security with DNA-genetic algorithm using blockchain technology

Authors: Sultan S. Alshamrani; Amjath Fareeth Basha

Addresses: College of Computers and Information Technology, Taif Univeristy, Taif, Makkah, Saudi Arabia ' College of Computers and Information Technology, Taif Univeristy, Taif, Makkah, Saudi Arabia

Abstract: Data security is an important issue in IoT technology, which affects the privacy of data. A new lightweight encryption technique called DNA-GA (Deoxyribonucleic Acid-Genetic Algorithm) has been proposed for resource-restricted IoT devices which gives high-level sensing of data security. Thus transmission of data with high security is handled by cryptographic techniques. Blockchain is another method proposed in this research to store data in the form of blocks using a hash function where the respective user alone can decrypt the data with the hash key, so that intruders are not able to hack the original data. Several experiments were conducted with different kinds of sensed data for our proposed method, and the result is compared with the existing method. The results show that the proposed method outperforms the existing method in handling a large amount of IoT data by reducing encryption and decryption time and provide a high level of security to protect the data.

Keywords: DNA; blockchain; IoT; hash function; decentralised network.

DOI: 10.1504/IJCAT.2021.114988

International Journal of Computer Applications in Technology, 2021 Vol.65 No.2, pp.150 - 159

Received: 17 Apr 2020
Accepted: 15 Aug 2020

Published online: 06 May 2021 *

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