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Looking at Information Security through a Prospect Theory Lens

机译:通过前景理论视角看信息安全

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Traditional accounts of decision-making under uncertainty have taken the Von Neumann and Morgenstern approach of Expected Utility Theory that considers how decisions under uncertainty should be made. This prescriptive model states that, when faced with a choice, a rational decision maker will pick the prospect that offers the highest expected utility. But as has been demonstrated by Kahnemann and Tversky in Prospect Theory, decision-making under uncertainty often deviates from what Expected Utility Theory predicts, largely depending on whether the decision is framed as a gain or a loss. According to their model, choices framed as gains often lead to risk-averse behavior, and choices framed as losses often induce risk-seeking behavior. This paper reviews various theories of decision-making under uncertainty and evaluates the relevance of Prospect Theory in the information security context. An instrument is developed to evaluate relevance, preliminary results are presented, and implications for future research are discussed.
机译:在不确定性条件下进行决策的传统方法采用了期望效用理论的冯·诺伊曼和莫根斯特恩方法,该方法考虑了如何在不确定性条件下进行决策。这个说明性模型指出,当面对选择时,理性的决策者将选择能够提供最高期望效用的前景。但是正如Kahnemann和Tversky在“前景理论”中所证明的那样,不确定性下的决策通常会偏离“期望效用理论”的预期,这在很大程度上取决于决策是获利还是亏损。根据他们的模型,以收益为框架的选择通常会导致规避风险的行为,以损失为框架的选择通常会导致寻求风险的行为。本文回顾了不确定性下的各种决策理论,并评估了前景理论在信息安全环境中的相关性。开发了一种评估相关性的工具,给出了初步结果,并讨论了对未来研究的意义。

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