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Designing a risk management framework for forecasting national security issues

机译:设计用于预测国家安全问题的风险管理框架

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Detecting and identifying future risks is a major issue for public decision makers, especially in the field of national security. Decision makers need to identify threats in order to be able to react to them adequately and so reduce risks. Therefore, we established a general risk management support guideline for public decision makers with a focus on national security. The framework aims at identifying future risks, analyzing and evaluating them, so that concrete actions can be set that tackle the potential threat. The risk management framework is thereby based on the core process of the ISO31000 risk management norm. Therefore we are combining several techniques and tools from the field of Operations Research (OR) to guide the decision maker through the risk management core process (risk identification, risk analysis, risk evaluation). Especially in the field of risk identification, the collection of high quality data is a key issue as this data is the foundation for the further creation of possible future scenarios. Therefore, the risk identification faces up to six individual steps of analysis, including qualitative and quantitative OR methods. Several tools were developed that enable a country-based screening for developing threats as well as an internet-based topic monitoring. Out of the concluding catalogue of hazards possible future scenarios are designed, analyzed, and ranked according to their probability of occurrence and importance. Finally, these scenarios are evaluated using a variety of quantitative OR methods, simulation models (mainly ABM and SD), or Fuzzy Logic Analysis.
机译:对于公共决策者,尤其是在国家安全领域,发现和识别未来风险是一个主要问题。决策者需要识别威胁,以便能够对它们做出适当的反应,从而降低风险。因此,我们为公共决策者建立了通用的风险管理支持指南,重点是国家安全。该框架旨在识别,分析和评估未来的风险,以便可以采取具体措施应对潜在的威胁。因此,风险管理框架基于ISO31000风险管理规范的核心流程。因此,我们结合了运筹学(OR)领域的几种技术和工具,以指导决策者完成风险管理核心流程(风险识别,风险分析,风险评估)。特别是在风险识别领域,高质量数据的收集是关键问题,因为该数据是进一步创建可能的未来方案的基础。因此,风险识别面临多达六个独立的分析步骤,包括定性和定量的OR方法。开发了几种工具,可以基于国家/地区进行威胁筛查以及基于Internet的主题监视。在危险的最终目录中,可能的未来方案是根据其发生的可能性和重要性进行设计,分析和排序的。最后,使用各种定量或方法,模拟模型(主要是ABM和SD)或模糊逻辑分析来评估这些方案。

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