Performance management algorithm of financial shared service center based on Internet of Things public cloud privacy protection

Author:

Yu Zhen1,Lin Sheng-Huang2,Cho Chia-Ching3,Chen Changping34

Affiliation:

1. Fujian Branch of Postal Savings Bank of China Limited, Fuzhou 350005, China

2. PhD Candidate College of Finance and Banking, National Kaohsiung University of Science and Technology (First Campus) No.1, University Rd., Yanchao Dist., Kaohsiung 82445, China

3. Department of Accounting and Information Technology, National Chung Cheng University, Chia-yi County 621301, China

4. School of Economics and Management, Yango University, Fuzhou 350015, China

Abstract

<abstract> <p>The Internet of Things (IoT) refers to the use of various communication technologies to achieve the interconnection of everything in cyberspace, and to achieve smart home and intelligent transportation, thus generating unprecedented amounts of data. In the financial sharing center, all businesses can extract effective data from these massive databases for analysis, and use data analysis tools to collect business, financial, human, process, knowledge and social data. At present, various types of IT (Internet Technology) systems have been widely used in financial sharing centers. However, a large number of sensitive data have also been generated. In order to protect these sensitive data, there is a high requirement for the personal information of IT system operation and financial sharing center personnel. In order to protect user data privacy, the optimal and most effective use of IT systems is an important issue that must be considered in privacy management. At present, there are many algorithms to protect data and privacy, but the effect is not ideal. Considering the balance between privacy issues, this paper proposed a K-means clustering algorithm based on IoT public cloud privacy protection technology to analyze the performance management of financial sharing center. The research results showed that before the improvement, the average number of employees who were dissatisfied with the post training ability and information platform construction ability of the financial sharing center was 57.9 and 57.8% respectively, more than half of them. After the improvement of IoT based public cloud privacy protection, the average number of employees dissatisfied with the post training ability and information platform construction ability of the financial sharing center was 5 and 3.9%, far less than the data prior to the improvement. It showed that IoT public cloud privacy protection was conducive to the performance management of the financial sharing center, and the relationship between the two was positive.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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