Title: Blockchain-based dynamic social spider optimisation network optimisation for supply chain in IoT

Authors: R. Anitha; Dinesh Rai

Addresses: School of Engineering and Technology, Sushant University, Gurugram, Haryana, India ' School of Engineering and Technology, Sushant University, Gurugram, Haryana, India

Abstract: Supply chain management (SCM) in large-scale industries is evolving into a complex value network that offers competitive advantages. BC, with its distributed public ledger, is an excellent tool for enhancing SCM quality. However, network optimisation during data transmission and routing in blockchain technology remains a significant and challenging issue. Additionally, there are technical challenges related to source verification and security within SCM. This paper introduces BC-DSSO for optimising IoT nodes. It highlights the main characteristics of BC technology, such as smart contracts, decentralisation, security, and transparency. The DSSO algorithm is inspired by the foraging strategy of social spiders, which use web vibrations to locate prey and choose the best routes. DSSO improves the efficiency and speed of communication between nodes in a network. Blockchain enhances supply chain visibility and transparency, increasing trust in the model. IoT technology is utilised to track and monitor the activity of products within supply chains. BC-DSSO involves four key steps: hash function, encoding, TM, and routing. During the TM step, node behaviour is supervised by a GRU classifier. The results are measured using metrics such as PDR, PLR, throughput, and correct blocks.

Keywords: internet of things; IoT; supply chain management; SCM; gated recurrent unit; GRU; network optimisation; blockchain-dynamic social spider optimisation; BC-DSSO; packet delivery ratio; PDR; packet loss ratio; PLR.

DOI: 10.1504/IJICS.2025.146610

International Journal of Information and Computer Security, 2025 Vol.27 No.1, pp.36 - 67

Received: 16 Apr 2024
Accepted: 09 Jul 2024
Published online: 06 Jun 2025 *

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