The Best Decision for E-Commerce Funds Transfer Based on Cloud Computing Technique

Author:

Wang Dongmei1ORCID,Li Guangqin2ORCID

Affiliation:

1. Yangtze River Economic Research Center, Chongqing Technology and Business University, Chongqing 401331, China

2. School of International Trade and Economics, Anhui University of Finance and Economics, Bengbu 233030, China

Abstract

Cloud computing offers an efficient, scalable, and flexible platform; through techniques and methods proven by it, many complex projects were successfully carried out. It provides consumers the opportunity to interact with previously unknown ease to measure sources and connections to IT-managed services. Online shopping has been considered as one of the commonly used channels for easy shopping in the Internet world and becomes a convenient way to search for products from various places and to make the operation quicker. The digital economy is powered by high-speed Internet connectivity launched by IT as a practical platform for interaction between online shopping and organizations. The platforms for e-commerce have led to extensive international access by local consumers to goods and services. E-commerce has improved productivity in enterprises and has added to the economies in the countries of the business industry. However, e-commerce security is the primary concern to protect details from electronic theft such as credit card or debit card fraud, retailer, or bank leakage of details while a card is not used for purchases online. In this paper, Cloud Computing-Based Multilevel Decision Support System (CCMDSS) has been proposed for secure fund transfer in the e-commerce platform. Furthermore, this study utilizes cryptography techniques and multiple networks to safeguard the security of information and decrease the systematic risks. The experimental results show that the proposed method enhances the efficiency and feasibility and secures the information while transferring the money. Compared with other models, Prediction Ratio validation has a significant improvement, and the error rate is greatly reduced, only 5.99%. Multiple data prove that the comprehensive performance of CCMDSS model ranks among the top among existing models.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluating the Effectiveness of Google Cloud Platform Against a Web Server;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18

2. A Deep Learning Prediction Approach for Machine Workload in Cloud Computing;2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS);2023-09-22

3. Impact of Business Analytics and Decision Support Systems on E-commerce in SMEs;Lecture Notes in Computer Science;2023

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