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Reward Sharing Schemes for Stake Pools (1807.11218v4)

Published 30 Jul 2018 in cs.GT

Abstract: We introduce and study reward sharing schemes (RSS) that promote the fair formation of {\em stake pools}\ in collaborative projects that involve a large number of stakeholders such as the maintenance of a proof-of-stake (PoS) blockchain. Our mechanisms are parameterized by a target value for the desired number of pools. We show that by properly incentivizing participants, the desired number of stake pools is a Nash equilibrium arising from rational play. Our equilibria also exhibit an efficiency / security tradeoff via a parameter that calibrates between including pools with the smallest cost and providing protection against Sybil attacks, the setting where a single stakeholder creates a large number of pools in the hopes to dominate the collaborative project. We then describe how RSS can be deployed in the PoS setting, mitigating a number of potential deployment attacks and protocol deviations that include censoring transactions, performing Sybil attacks with the objective to control the majority of stake, lying about the actual cost and others. Finally, we experimentally demonstrate fast convergence to equilibria in dynamic environments where players react to each other's strategic moves over an indefinite period of interactive play. We also show how simple reward sharing schemes that are seemingly more "fair", perhaps counterintuitively, converge to centralized equilibria.

Citations (56)

Summary

  • The paper develops a game-theoretic model that achieves Nash equilibria to balance decentralization and security in PoS blockchains.
  • The paper empirically demonstrates that a cap-and-margin reward mechanism effectively deters Sybil attacks and incentivizes honest cost reporting.
  • The paper provides a robust framework for encouraging multiple stake pool formations, mitigating centralization risks in decentralized finance.

Analysis of Reward Sharing Schemes for Stake Pools in PoS Blockchains

The paper "Reward Sharing Schemes for Stake Pools," authored by Lars Brünjes et al., addresses the complex challenge of designing incentive mechanisms within proof-of-stake (PoS) blockchain systems. The authors propose reward sharing schemes that are tailored to promote decentralization and mitigate potential security threats, including Sybil attacks. Their approach takes into account the game-theoretic implications of such schemes and provides a framework for the formation of Nash equilibria that balance decentralization and security.

The authors introduce reward sharing schemes (RSS) parameterized by a target number of stake pools, which are designed to achieve Nash equilibria that ensure the desired distribution of pools. The mechanism incorporates a tradeoff between efficiency and Sybil resilience via a parameter that regulates the inclusion of pools based on their costs and potential susceptibility to centralized control attempts. This includes a novel feature that caps rewards for pool sizes beyond a certain threshold, promoting the formation of multiple pools rather than consolidation into fewer, larger pools.

The central innovation lies in their game-theoretic model, which considers rational stakeholders engaging in strategic play. The reward-sharing scheme relies on a cap-and-margin mechanism where rewards are calculated based on a combination of the pool size and the stake of the pool leader. This configuration is crucial for ensuring that stakeholders are incentivized not merely to form pools, but also to remain honest about their operational costs. Notably, the reward distribution model proposed ensures that pool leaders have a weighted incentive to participate actively and truthfully report their costs.

The empirical section of the paper demonstrates the convergence of these reward schemes to the desired equilibrium states in dynamic environments through experimental simulations. The authors show that even when stakeholders make seemingly rational decisions, game dynamics lead to equilibria that uphold decentralization. Their findings also reveal that schemes perceived as fair, in certain contexts, lead to centralization rather than the intended diversification of stakes across numerous pools.

This work has direct implications for decentralized finance and blockchain governance structures. The proposed RSS provides a structured approach that could potentially repel Sybil attacks by necessitating a larger investment than what is typically required to control multiple pools. This is particularly crucial for maintaining the integrity and security of PoS systems, where the threat of a few powerful entities dominating the network is a significant concern.

Future research could explore the impact of transaction fees and other blockchain-specific economic incentives in further shaping pool reward dynamics. Additionally, an exploration of adaptive reward parameters could provide insights into dynamically balancing environmental changes against decentralized control risks. Understanding the interplay between different PoS systems' governance models and the proposed reward sharing schemes could lead to a broader application of these principles across diverse blockchain ecosystems.

In conclusion, the paper provides a significant contribution to the field of blockchain economics by offering a robust framework for reward distribution that aligns individual incentives with collective stability and fairness objectives. This model not only addresses existing threats to PoS systems but also sets the stage for more advanced studies into collaborative economics in decentralized networks.

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