The optimisation of enterprise internet of things security management system under digital economy Online publication date: Tue, 30-Jul-2024
by Jianhua Liu; Huijie Ma
International Journal of Information and Computer Security (IJICS), Vol. 24, No. 1/2, 2024
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.
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