Empirically bound realistic bribing budgets for deployed systems

Determine empirically grounded bounds on an adversary’s bribing budget for deployed Proof-of-Stake blockchains by estimating token price impact from historical market data (to approximate xmax − Xmin) and incorporating deposit sizes in slashing-based systems, and assess how these bounds affect bribery attack feasibility under the guided and effective bribing models.

Background

The theoretical results assume a finite bribing budget linked to the exchange-rate impact and, under accountable rewards, to aggregate deposits. While these bounds enable rigorous analysis, they may not reflect real-world market dynamics or capital availability.

The authors explicitly call for empirical estimation of practical budget bounds using market data and on-chain deposits where slashing applies, to calibrate the model’s assumptions for deployed systems.