Title: Enterprise intelligent financial sharing mechanism in the security environment of the internet of things

Authors: Yongling Zhang; Xuandong Zhang; Jinlong Song

Addresses: School of Information and Communication Engineering, North University of China, Taiyuan, 030051, China ' Business School, Silla University, Busan, 46958, South Korea ' College of Finance and Economics, Shanghai Lida University, Shanghai, China

Abstract: This study aims to enhance the functional development of enterprise intelligent financial sharing and ensure the security of financial information transmission within organisations. It begins by comprehensively understanding the current state of the internet of things (IoT) security environment and the establishment of enterprise intelligent financial sharing mechanisms. Subsequently, this study analyses and discusses the continuous identity authentication and security threat assessment control model in the context of IoT security under decentralised computing. Finally, the grey clustering trigonometric function evaluation model is employed to establish a functional evaluation mechanism for enterprise intelligent financial sharing, thereby improving the functionality of financial sharing. The findings indicate that IoT data exhibits the highest levels of security and reliability. By continuously controlling the attack rate below 0.2, the number of malicious nodes is significantly reduced, leading to a basic guarantee of IoT information security.

Keywords: sharing of intelligent enterprise finance; internet of things security; continuous identity authentication; indicator integration; grey clustering.

DOI: 10.1504/IJICS.2024.140210

International Journal of Information and Computer Security, 2024 Vol.24 No.1/2, pp.80 - 97

Received: 18 May 2023
Accepted: 25 Jun 2023
Published online: 30 Jul 2024 *

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