A framework for evaluating IT security investments in a banking environment

E. Smith, H. Kruger
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引用次数: 4

Abstract

The amount of effort that can be expended on information security depends on funds available and management decisions. Organisations therefore have to prepare an annual budget for the maintenance and improvement of their information security systems. Two of the key issues that confront IT management, when dealing with IT security investments, are how to spend the IT security budget most effectively, and how to make the case for an increase in funds to maintain and further enhance information security. The aim of this paper is to present a quantitative framework as an alternative way of analysing IT security investments in a banking environment in order to address the two issues mentioned above. A two step framework is proposed. The first step utilizes a cluster analysis (CA) technique and the second step employs a linear programming technique called data envelopment analysis (DEA). The purpose of the clustering step is to ensure that evaluations are carried out in groups of homogenous bank branches while the purpose of the DEA model is to determine which of the branches make efficient use of the IT security resources available to them. Following a brief discussion of the proposed framework and techniques used, an illustrative example, based on a well known South African financial institution, is presented.
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用于评估银行环境中IT安全投资的框架
可用于信息安全的工作量取决于可用资金和管理决策。因此,组织必须为维护和改进其信息安全系统准备年度预算。在处理IT安全投资时,IT管理层面临的两个关键问题是如何最有效地使用IT安全预算,以及如何增加资金以维护和进一步增强信息安全。本文的目的是提出一个定量框架,作为分析银行环境中IT安全投资的替代方法,以解决上面提到的两个问题。提出了一个两步框架。第一步使用聚类分析(CA)技术,第二步使用称为数据包络分析(DEA)的线性规划技术。聚类步骤的目的是确保在同质银行分支机构组中执行评估,而DEA模型的目的是确定哪些分支机构有效地利用了可用的IT安全资源。在对拟议的框架和使用的技术进行简要讨论之后,提出了一个以南非一家知名金融机构为基础的说明性例子。
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