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The global financial crisis of 2008 increased the interest of financial sector entities worldwide, and especially of financial institutions in Colombia, in the development of models that allow managing the risk of their business operations (Operational Risk). That is why, for the modeling of this type of risk, a model will be developed and analyzed that is based on the principles of fuzzy neural computation...
Operational risk has become one of the most discussed topics by both academics and practitioners in the financial industry in the recent years. The reasons for this attention can be attributed to higher investments in information systems and technology, the increasing wave of mergers and acquisitions, emergence of new financial instruments and the growth of electronic dealing. In addition, the New...
This paper proposes a quantitative model for assessing cyber security risk in information security. The model can be used to evaluate the security readiness of firms in the marketplace through qualitative and quantitative tools. We propose a Bayesian network methodology that can be used to generate a cyber security risk score that takes as input a firm's security profile and data breach statistics...
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This paper presents a model based assessment framework for analyzing the cyber security provided by different architectural scenarios. The framework uses the Bayesian statistics based extended influence diagrams to express attack...
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