Yu Zhen, Lin Sheng-Huang, Cho Chia-Ching, Chen Changping
Fujian Branch of Postal Savings Bank of China Limited, Fuzhou 350005, China.
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.
Math Biosci Eng. 2023 May 25;20(7):12510-12528. doi: 10.3934/mbe.2023557.
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.
物联网（IoT）是指利用各种通信技术实现网络空间中万物互联，进而实现智能家居和智能交通，从而产生前所未有的大量数据。在财务共享中心，所有业务都可以从这些海量数据库中提取有效数据进行分析，并使用数据分析工具收集业务、财务、人力、流程、知识和社会数据。目前，各类信息技术（IT）系统已在财务共享中心广泛应用。然而，也产生了大量敏感数据。为保护这些敏感数据，对IT系统运营和财务共享中心人员的个人信息有很高要求。为保护用户数据隐私，优化并最有效地使用IT系统是隐私管理中必须考虑的重要问题。目前，有许多保护数据和隐私的算法，但效果并不理想。考虑到隐私问题之间的平衡，本文提出一种基于物联网公共云隐私保护技术的K均值聚类算法，用于分析财务共享中心的绩效管理。研究结果表明，改进前，对财务共享中心岗位培训能力和信息平台建设能力不满意的员工平均占比分别为57.9%和57.8%，超过半数。基于物联网的公共云隐私保护改进后，对财务共享中心岗位培训能力和信息平台建设能力不满意的员工平均占比分别为5%和3.9%，远低于改进前的数据。这表明物联网公共云隐私保护有利于财务共享中心的绩效管理，二者呈正相关关系。
