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A Method for Optimal Allocation of Defensive Alternatives: Analysis of a Strategic Interaction with a Multi-objective Approach

机译:一种优化防御性替代品的方法:与多目标方法的战略互动分析

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Compelled by recent astonishing and catastrophic events, academic community and society as a whole have paid attention at methods that aid stakeholders in making decisions regarding investments in more effective defense systems. This paper aims at providing a method devised to support decision makers who are interested in allocating investments in security systems that may be subjected to purposeful attacks. Thus, it considers the strategic interactions between two rational agents: (i) a defender who wants to protect critical parts of the main system (e.g. power transmission lines, oil tankers, banks, museums, among others) via a security structure and (ii) an attacker who is interested in shutting the defense system down so as to obtain free access to the main system. The methodology proposed in this article uses Game and Reliability Theories and Multi-objective Genetic Algorithm (MOGA) to model this strategic interaction, which is analyzed in terms of a sequential game in the scenarios of complete/perfect and incomplete/imperfect information. An application example involving data from a real power system line is provided.
机译:由于最近的令人惊讶和灾难性的事件,学术界和社会的整体而受到关注的方法,以帮助利益相关者在更有效的防御系统中进行投资决策。本文旨在提供一种设计的方法,以支持有兴趣在可能遭受有目的攻击的安全系统中分配投资的决策者。因此,它考虑了两位理性代理人之间的战略互动:(i)通过安全结构和(II)和(II)的警告保护主要系统的关键部位(例如电力传输线,油箱,银行,博物馆等)的后卫之间的战略互动)有兴趣将防御系统关闭的攻击者,以便获取对主系统的免费访问权限。本文提出的方法使用游戏和可靠性理论和多目标遗传算法(MOGA)来模拟这种战略互动,这在完整/完全和不完整/不完全/不完全信息的情况下的顺序游戏方面分析。提供了涉及来自实际电力系统线路的数据的应用示例。

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