IT/IS security management with uncertain information

Klimeš, Cyril; Bartoš, Jiří

doi:10.14736/kyb-2015-3-0408

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…In fact, a number of researchers have identified qualitative and quantitative approaches of IS risk analysis. The reliability of qualitative methods is based on the subjective assessments of experts during the evaluation process (Klimeš and Bartoš, 2015, Walek, 2013, Walek et al, 2013). The quantitative methods are mainly based on mathematical models and can be divided into: i) deterministic methods, ii) probabilistic methods, iii) methods using analogies, and iv) multi-criteria evaluation methods (EIC/ISO).…”

Section: Introductionmentioning

confidence: 99%

“…As to the multi-criteria evaluation methods, Delphi method is often used to evaluate risk factors (Briš, 2009, Procházková, 2011b). However and in order to overcome the drawbacks of available risk analysis approaches, Klimeš and Bartoš (2015) suggested fuzzy approach to decision making process based on six sub processes and including several IF-THEN-rule knowledge bases.…”

Section: Introductionmentioning

confidence: 99%

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Information Security Management: ANP Based Approach for Risk Analysis and Decision Making

Brožová

Šup

Rydval

et al. 2016

AOL

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In information systems security, the objectives of risk analysis process are to help to identify new threats and vulnerabilities, to estimate their business impact and to provide a dynamic set of tools to control the security level of the information system. The identification of risk factors as well as the estimation of their business impact require tools for assessment of risk with multi-value scales according to different stakeholders' point of view. Therefore, the purpose of this paper is to model risk analysis decision making problem using semantic network to develop the decision network and the Analytical Network Process (ANP) that allows solving complex problems taking into consideration quantitative and qualitative data. As a decision support technique ANP also measures the dependency among risk factors related to the elicitation of individual judgement. An empirical study involving the Forestry Company is used to illustrate the relevance of ANP.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Information Security Management: ANP Based Approach for Risk Analysis and Decision Making

Brožová

Šup

Rydval

et al. 2016

AOL

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“…Structure, as showed in Fig. 1 was based on needs to optimize the controlling procedures based on external, so called limited conditions, and concept targets of the top management as well [1,2,3]. Current state of manufacturing process is indicated by means of a monitoring system.…”

Section: Introductionmentioning

confidence: 99%

Model of the Decision Support System under Condition of Non-Determination for Manufacturing Process Support

Klimeš

Farana

2014

AMM

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Decision support systems mean interactive computer systems, which assist to decision making subjects to utilize both data and models to solve non-structured issues. These systems were established mainly on the basis of a risk analysis, utilizing the experience/skills, conclusion making and intuition, enabling very fast and flexible analysis with a good response, enabling the application of manager intuition and judgment this way. However, such decisions are often based on uncertain information. This fact requires the establishment of other decision support models.

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