Accountancy for E-Business Enterprises Based on Cyber Security

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING International Journal of Data Warehousing and Mining Pub Date : 2023-03-22 DOI:10.4018/ijdwm.320227
Yu Yang, Zecheng Yin
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Abstract

E-businesses (EBEs) may commit legal offenses due to perpetrating cybercrime while doing the commercial activity. According to the findings, various obstacles might deter cybercrime throughout accounting. The study examined the present laws for accounting policy elements and determined those aspects that should be included in the administrative document for e-business enterprise accounting policies. E-businesses must avoid cyber-crime (CC), which has a detrimental influence on the company's brand and diminishes client loyalty to ensure their success. According to the study's findings, the use of information and control functions of accounting can help prevent cyber-crime in the bookkeeping system by increasing the content of individual internal rules. The authors intended to make online payments for EBE-CC as safe, easy, and fast as possible. However, the internet is known for making its users feel anonymous. E-commerce (EC) transactions are vulnerable to cybercrime, resulting in considerable money and personal information losses.
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基于网络安全的电子商务企业会计
电子商务企业在进行商业活动的同时,可能会实施网络犯罪,从而构成违法行为。根据调查结果,各种障碍可能会在整个会计过程中阻止网络犯罪。研究审查了现行法律规定的会计政策要素,确定了电子商务企业会计政策行政文件应包括的内容。电子商务必须避免网络犯罪(CC),这对公司的品牌有不利影响,并降低客户的忠诚度,以确保他们的成功。根据研究结果,利用会计的信息和控制功能可以通过增加个人内部规则的内容来帮助防止记账系统中的网络犯罪。作者打算使EBE-CC的在线支付尽可能安全、简单和快速。然而,众所周知,互联网让用户感到匿名。电子商务交易容易受到网络犯罪的影响,导致大量的金钱和个人信息损失。
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来源期刊
International Journal of Data Warehousing and Mining
International Journal of Data Warehousing and Mining COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.40
自引率
0.00%
发文量
20
审稿时长
>12 weeks
期刊介绍: The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving
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