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Security Risk Evaluation Model on Management Information System

机译:管理信息系统安全风险评估模型

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With the rapid development of computer, insecurity factors(such as computer virus, hacker) influences the development of MIS, safety risk evaluation has been an important task. This paper describes a risk evaluation method for MIS based on fuzzy set theory which uses linguistic variables and respective fuzzy numbers to evaluate the factors. The primary weights of factors and evaluation of alternatives are determined by applying linguistic variables and fuzzy numbers. The notion of Shapely value is used to determine the global value of each factor in accomplishing the overall objective of the risk evaluation process, so the primary weights are revised, thus the importance of factors can be reflected more precisely. A major advantage of the method is that it allows experts and engineers to express their opinions on safety risk evaluation in linguistic variables rather than crisp values. An illustration is presented to demonstrate the application of the method in risk evaluation. The results are consistent with the results calculated by conventional risk evaluation method. The research demonstrates that the method is objective and accurate, and is an application value in the risk evaluation for MIS
机译:随着计算机的飞速发展,不安全因素(如计算机病毒,黑客)影响了MIS的发展,安全风险评估已成为一项重要任务。本文描述了一种基于模糊集理论的MIS风险评估方法,该方法利用语言变量和相应的模糊数来评估因素。因子的主要权重和替代方案的评估是通过应用语言变量和模糊数来确定的。 Shapely值的概念用于确定完成风险评估过程总体目标的每个因素的全局值,因此可以修改主要权重,从而可以更准确地反映因素的重要性。该方法的主要优点是,它使专家和工程师可以用语言变量而不是明晰的值来表达他们对安全风险评估的意见。图示说明了该方法在风险评估中的应用。结果与常规风险评估方法计算的结果相吻合。研究表明,该方法是客观,准确的,在MIS风险评估中具有应用价值。

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