Legitimate Overrides in Decentralized Protocols

2026-02-12

AI Summary

This study addresses the challenge of designing legitimate and trustworthy emergency intervention mechanisms in decentralized protocols that balance rapid vulnerability response against the risk of power abuse. The authors propose a Scope×Authority taxonomy, modeling interventions within a two-dimensional design space defined by intervention precision and authority centralization, and formalize the problem as one of stochastic cost minimization to quantitatively trade off centralization costs, containment speed, and collateral disruption. Empirical analysis of 705 real-world attacks reveals that authority type significantly affects containment time—losses follow a heavy-tailed distribution with tail index α≈1.33—and that community sentiment modulates the cost of sustaining interventions. This work establishes the first systematic analytical framework for emergency governance, shifting discourse from ideological debate toward quantifiable engineering design and yielding concrete mechanism design principles.

Technology Category

• Multiagent Systems: Mechanism Design
• Game Theory and Economic Paradigms: Mechanism Design
• Reasoning under Uncertainty: Causality

Application Category

• Security and Privacy: Large-scale security measurements
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems

Abstract

Decentralized protocols claim immutable, rule-based execution, yet many embed emergency mechanisms such as chain-level freezes, protocol pauses, and account quarantines. These overrides are crucial for responding to exploits and systemic failures, but they expose a core tension: when does intervention preserve trust and when is it perceived as illegitimate discretion? With approximately $10$ billion in technical exploit losses potentially addressable by onchain intervention (2016--2026), the design of these mechanisms has high practical stakes, but current approaches remain ad hoc and ideologically charged. We address this gap by developing a Scope $\times$ Authority taxonomy that maps the design space of emergency architectures along two dimensions: the precision of the intervention and the concentration of trigger authority. We formalize the resulting tradeoffs of a standing centralization cost versus containment speed and collateral disruption as a stochastic cost-minimization problem; and derive three testable predictions. Assessing these predictions against 705 documented exploit incidents, we find that containment time varies systematically by authority type; that losses follow a heavy-tailed distribution ($\alpha \approx 1.33$) concentrating risk in rare catastrophic events; and that community sentiment measurably modulates the effective cost of maintaining intervention capability. The analysis yields concrete design principles that move emergency governance from ideological debate towards quantitative engineering.

Problem

• decentralized protocols
• emergency overrides
• intervention legitimacy
• governance design
• trust tension

Innovation

• emergency governance
• decentralized protocols
• Scope-Authority taxonomy
• stochastic cost-minimization
• onchain intervention