论文标题
MORSHED：指导行为决策者在相互依存的系统中更好地进行安全投资
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
论文作者
论文摘要
我们在确保相互依存的系统中对人类决策的行为偏见进行了建模，并表明与非行为（理性）决策相比，这种行为决策会导致资源分配的次优模式。我们通过与145名参与者的受控学科研究提供了这种行为偏见模型的经验证据。然后，我们提出了三种学习技术，以增强多轮设置中的决策。我们通过多个相互依存的现实世界系统说明了决策模型的好处，并与捍卫者是行为的情况相比量化了增益水平。我们还向不同的攻击模型展示了学习技术的好处。我们确定不同系统参数对行为决策导致的安全结果次级优化程度的影响。
We model the behavioral biases of human decision-making in securing interdependent systems and show that such behavioral decision-making leads to a suboptimal pattern of resource allocation compared to non-behavioral (rational) decision-making. We provide empirical evidence for the existence of such behavioral bias model through a controlled subject study with 145 participants. We then propose three learning techniques for enhancing decision-making in multi-round setups. We illustrate the benefits of our decision-making model through multiple interdependent real-world systems and quantify the level of gain compared to the case in which the defenders are behavioral. We also show the benefit of our learning techniques against different attack models. We identify the effects of different system parameters on the degree of suboptimality of security outcomes due to behavioral decision-making.
