Title: Blockchain-IoT based secure data sharing for precision agriculture with optimal clustering and a hybrid encryption algorithm

Authors: T. Senthil Murugan

Addresses: Department of Information Technology, Kakatiya Institute of Technology and Science, Warangal, 506015, Telangana, India

Abstract: Precision agriculture is a farming management technique that uses technology such as Internet of Things (IoT), remote sensing, and information technology to improve crop yields and efficiency. To effectively utilise the resources in precision agriculture, a novel deterministic Blockchain-IoT based secure data sharing model is introduced. The system would use optimal clustering and a hybrid encryption algorithm to ensure the privacy and security of the data being shared. The new optimisation algorithm referred to as SSA-RFO, which combines the concepts of Salp swarm algorithm (SSA) and red fox optimisation algorithm (RFO) is utilised for optimal cluster head selection. Moreover, the hybrid encryption algorithm would use a combination of symmetric and asymmetric encryption to protect the data from unauthorised access. The proposed model has been validated over the existing works in terms of accuracy, specificity, sensitivity, and precision as well.

Keywords: precision agriculture; clustering; AES; advanced encryption standard; DES; data encryption standard; SSA; Salp swarm algorithm; RFO; red fox optimisation algorithm.

DOI: 10.1504/IJSOI.2023.137454

International Journal of Services Operations and Informatics, 2023 Vol.12 No.4, pp.285 - 306

Received: 23 May 2023
Accepted: 04 Jul 2023
Published online: 19 Mar 2024 *

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