期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：3
出版社：IJCSI Press
摘要：nowadays, information systems constitute a crucial part of organizations; by losing security, these organizations will loss plenty of competitive advantages as well. A healthful company has to anticipate undesired events by defining a process for managing risks. Risk management processes are responsible for identifying, analyzing and evaluating risky scenarios and whether they should undergo control in order to satisfy a previously defined risk criterion. Risk specialists have to consider, at the same time, many operational aspects (decision variables) and objectives to decide which and when risk treatment have to be executed. Aiming to balancing the competition between risk and resource management this paper proposes a new optimization step within the standards risk management methodology created by the International organization for Standardization. Our objective is to automatically find a subset of risks that maximize risk reduction and respect the company operational resource limitations. This paper applied a Learning Automaton (LA) for risk reduction in uncertainly. To test the resulted methodology, experiments based on the Simple selection algorithm were performed aiming to manage risk and resources of a simulated company. Result show us that the proposed approach can deal with multiple conflicting objectives reducing the risk exposure time by selecting risks to be treated according their impact, and available resources.
