Title: The optimisation of enterprise internet of things security management system under digital economy

Authors: Jianhua Liu; Huijie Ma

Addresses: North China University of Water Resources and Electric Power, Zhengzhou, 450046, China ' North China University of Water Resources and Electric Power, Zhengzhou, 450046, China; Henan Vocational and Technical College, Zhengzhou, China

Abstract: In the context of the digital economy, this study integrates the internet of things (IoT), blockchain, ant colony optimisation (ACO), neural network, and other modern digital information technologies. An enterprise IoT security management system (SMS) is built to address the security risks of enterprise IoT information and data. The improved backpropagation (BP) algorithm optimises data transactions and network security templates in enterprise IoT SMS. At the same time, this study also introduces the ACO to improve the performance of the BP neural network. Firstly, the methods of enterprise IoT security management under the growth of the digital economy and the technical path of digital technology for enterprise security management are explained. Secondly, a BP algorithm based on an ant colony algorithm and genetic algorithm optimisation is established to improve the speed and security of data transactions and network security module processing information data in the enterprise IoT SMS.

Keywords: digital economy; internet of things; IoT; blockchain; enterprise security management; system optimisation; ant colony optimisation; ACO.

DOI: 10.1504/IJICS.2024.140214

International Journal of Information and Computer Security, 2024 Vol.24 No.1/2, pp.44 - 59

Received: 02 May 2023
Accepted: 08 Sep 2023
Published online: 30 Jul 2024 *

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