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Applying fuzzy expert system to information security risk Assessment - A case study on an attendance system

机译:模糊专家系统在信息安全风险评估中的应用-以考勤系统为例

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As computer becomes popular and internet advances rapidly, information application systems are used extensively in organizations. Various information application systems such as attendance systems, accounting systems, and statistical systems have already replaced manual operations. In such a drastic change, the information security issue encountered by organizations becomes increasingly significant. This study adopts an attendance system of a governmental organization to explore the information security issue. The risk assessment of the attendance system mainly focuses on the assessments of confidentiality, integrity and availability. Weak points of the attendance system and threats to the outside are also included in the scope of consideration. This study adopts the ISO/IEC 27001 information security management system standard and ISO/IEC27005:2008 Information technology - Security techniques - Information security risk management to explore the risk assessment method of the attendance system and establish a set of fuzzy expert systems to measure the value at risk. In the meantime, a recommended acceptable value at risk is provided for facilitating and assisting decision makers through practical aspects and fuzzy expert systems and used as a reference for selecting an acceptable value at risk.
机译:随着计算机的普及和互联网的快速发展,信息应用系统在组织中得到了广泛的应用。各种信息应用系统,例如考勤系统,会计系统和统计系统,已经取代了人工操作。在如此巨大的变化中,组织遇到的信息安全问题变得越来越重要。本研究采用政府组织的出勤制度来探讨信息安全问题。考勤系统的风险评估主要集中于机密性,完整性和可用性的评估。考勤系统的弱点和对外界的威胁也包括在考虑范围之内。本研究采用ISO / IEC 27001信息安全管理体系标准和ISO / IEC27005:2008信息技术-安全技术-信息安全风险管理,探索考勤系统的风险评估方法,建立一套模糊专家系统来衡量考勤系统的风险。有风险的价值。同时,提供了建议的可接受风险值,以通过实际情况和模糊专家系统为决策者提供便利和协助,并用作选择可接受风险值的参考。

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