Game Theoretic Attack Vectors
Game theoretic attack vectors examine how rational, self-interested actors might interact with a protocol to subvert its intended outcomes for personal gain. This field looks at the incentives provided by the protocol and asks if there are scenarios where acting maliciously or selfishly is more profitable than following the rules.
In decentralized systems, this could involve coordinating with other users to manipulate governance votes, colluding to influence price feeds, or exploiting the timing of transaction inclusion. By modeling these interactions, designers can create incentive structures where the Nash equilibrium ⎊ the state where no participant can benefit by changing their strategy ⎊ aligns with the long-term health and security of the protocol.
It is a critical component of designing resilient, decentralized economic systems.