探索南非银行业的信息安全水平

O. Akinbowale, Heinz Eckart Klingelhofer, M. Zerihun
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引用次数: 0

摘要

本研究旨在探讨南非银行的信息安全水平,以确定其抵御网络攻击和入侵的能力。本研究采用了一种混合方法,即对从作为调查工具的结构化问卷中获得的答复进行定量和定性分析。调查问卷分发给了南非 17 家持牌银行中负责运营、客户服务、管理和行政的部分员工。此外,还进行了非参数统计分析,如费舍尔精确检验、卡方检验以及斯皮尔曼相关检验。研究结果表明,南非银行业信息安全对客户服务的有效性较高。南非银行正在部署不同的反欺诈技术,以加强信息安全水平;然而,仍存在大量网络欺诈和未经授权入侵的案例。研究结果还表明,法证会计和管理控制系统的整合可以促进银行业的信息安全。这项研究有助于深入了解信息安全框架开发对减少系统脆弱性和入侵的影响。
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Exploring the level of information security in the South African banking industry
The purpose of this study is to explore the level of information security among South African banks with the aim of determining the level of their resilience to cyberattacks and intrusions. The study employs a mixed approach that involves both quantitative and qualitative analyses of the responses obtained from a structured questionnaire used as the survey instrument. The questionnaire was distributed to some selected members of staff of the 17 licensed banks in South Africa saddled with the responsibilities of operation, customer service, management, and administration. In addition, non-parametric statistical analyses such as Fischer’s Exact and Chi-square tests, as well as Spearman’s correlation, were carried out. The outcome of this study indicated that the effectiveness of information security on customers’ service in the South African banking industry is assumed to be high. South African banks are deploying different anti-fraud technologies to strengthen the level of information security; however, there are still substantial cases of cyberfraud and unauthorised intrusions. The findings also indicate that the integration of forensic accounting and management control systems may promote information security in the banking industry. This study provided an insight into the impact of information security framework development to reduce systems’ vulnerability and intrusions.
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来源期刊
International Journal of Management and Sustainability
International Journal of Management and Sustainability Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
1.70
自引率
0.00%
发文量
15
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