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We model the behavioral biases of human decision-making in securinginterdependent systems and show that such behavioral decision-making leads to asuboptimal pattern of resource allocation compared to non-behavioral (rational)decision-making. We provide empirical evidence for the existence of suchbehavioral bias model through a controlled subject study with 145 participants.We then propose three learning techniques for enhancing decision-making inmulti-round setups. We illustrate the benefits of our decision-making modelthrough multiple interdependent real-world systems and quantify the level ofgain compared to the case in which the defenders are behavioral. We also showthe benefit of our learning techniques against different attack models. Weidentify the effects of different system parameters on the degree ofsuboptimality of security outcomes due to behavioral decision-making.

Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems