Game Theoretic Attack Modeling

Game theoretic attack modeling applies the principles of game theory to simulate how rational or malicious actors might interact with a protocol to achieve unfavorable outcomes. This involves defining the players, their strategies, and the potential payoffs within the protocol's environment.

For derivatives, this means analyzing how participants might manipulate price oracles, front-run liquidations, or collude to influence governance decisions. By modeling these interactions, researchers can identify stable strategies that lead to protocol failure and then design countermeasures to change the game's incentives.

This approach is essential for understanding the behavioral dynamics of decentralized markets, where code and incentives are inextricably linked. It moves security beyond technical bugs to address the systemic risks posed by strategic human behavior.