Article: Blockchain-based packet parser architecture for securing cyber-infrastructure and internet of things networks with auto-metric graph neural network Journal: International Journal of Mobile Communications (IJMC) 2025 Vol.25 No.2 pp.153 - 175 Abstract: Blockchain technology, also known as cryptographic ledger technology, has recently been used to transport transactions and information securely through networks, primarily to increase security. AGNN long blockchain-based packet parser architecture is proposed for enabling cybersecurity at IoT devices. IoT architecture is processed on basis of three layers that are named as cloud layer, edge layer and device layer. Every node in edge layer is configured by proposed auto-metric graph neural network with BC-PP for analysing cyber-attacks. Proposed method is decentralised between edge nodes at edge layer of networks. Proposed technique will be executed on working platform of python device. Performance of proposed algorithm is evaluated under performance metrics, accuracy, detection time, attack probability, packet drop ratio, packet delivery ratio, computational time and delay. Here, proposed method provides 8.76%, 24.6%, 21.46% high accuracy, 69.53%, 45.5%, 66.7% lower detection time, 4.4%, 8.2%, 10% lower computation time comparing to existing methods, respectively. Inderscience Publishers - linking academia, business and industry through research

Title: Blockchain-based packet parser architecture for securing cyber-infrastructure and internet of things networks with auto-metric graph neural network

Authors: R. Deepa; S. Subasree; N.K. Sakthivel; Amit Kumar Tyagi

Addresses: Department of Electronics and Communication Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India

Abstract: Blockchain technology, also known as cryptographic ledger technology, has recently been used to transport transactions and information securely through networks, primarily to increase security. AGNN long blockchain-based packet parser architecture is proposed for enabling cybersecurity at IoT devices. IoT architecture is processed on basis of three layers that are named as cloud layer, edge layer and device layer. Every node in edge layer is configured by proposed auto-metric graph neural network with BC-PP for analysing cyber-attacks. Proposed method is decentralised between edge nodes at edge layer of networks. Proposed technique will be executed on working platform of python device. Performance of proposed algorithm is evaluated under performance metrics, accuracy, detection time, attack probability, packet drop ratio, packet delivery ratio, computational time and delay. Here, proposed method provides 8.76%, 24.6%, 21.46% high accuracy, 69.53%, 45.5%, 66.7% lower detection time, 4.4%, 8.2%, 10% lower computation time comparing to existing methods, respectively.

Keywords: internet of things network; cybersecurity; blockchain-based packet parser architecture; auto-metric graph neural network; AGNN.

DOI: 10.1504/IJMC.2025.144196

International Journal of Mobile Communications, 2025 Vol.25 No.2, pp.153 - 175

Received: 23 Jul 2022
Accepted: 07 Oct 2023
Published online: 31 Jan 2025 *

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Title: Blockchain-based packet parser architecture for securing cyber-infrastructure and internet of things networks with auto-metric graph neural network

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