[Research] Bitcoin After Block Rewards : preventing miner's deviation when the Bitcoin rewards is zero

This shift could significantly impact network security, thrusting the Bitcoin ecosystem into a scenario where miner profitability and honest behavior might not be as predictable as currently anticipated. Lee's analysis introduces a threshold indicator, G_t, which helps in determining whether miners are deviating from their expected roles within the network, thus offering a quantitative measure to monitor potential shifts in miner behavior. The study also suggests that significant deviations among miners may arise from factors other than just the diminishing block rewards, such as transaction fee structures.

In response to these findings, there has been a proposal for implementing a floor fee mechanism compatible with soft-forking to maintain miner incentives. This is alongside more comprehensive solutions like tail emissions combined with an EIP-1559 style fee burn and priority tipping, aiming to create a balanced and sustainable economic model for transaction processing and network security. For those interested in exploring these concepts further, the original content is available here.

Feedback on Lee’s paper suggests that while the theoretical approach is robust, the static nature of the hash power model used does not account for dynamic changes in mining behavior, which could undermine the security of the network if not addressed. Discussions have led to suggestions for a more dynamic modeling of mining capacity that includes undisclosed reserve capacities or "dark capacity," which can be utilized in response to threats, thereby introducing a layered and deterrent-based security strategy.

Criticisms also extend to the handling of potential Sybil attacks, indicating a need for more comprehensive security measures that consider both economic incentives and broader network trust mechanisms. This includes adjusting how blocks are confirmed by integrating costliness of production with recognition by trusted entities, ensuring a more holistic approach to blockchain security.

Lastly, the discussions underscore the necessity of revising certain assumptions made in Lee's paper, particularly concerning the static modeling of mining operations. The feedback calls for a clearer articulation of these assumptions as representing a conservative, worst-case scenario rather than a definitive forecast of future events. This recalibration will help align the theoretical models with realistic expectations and enhance the scholarly value of the research.

In summary, Lee's work, along with the ensuing discussions and critiques, forms a critical discourse on the sustainability of Bitcoin's security mechanisms in a post-block reward era. The engagement with various theoretical and practical perspectives enriches the understanding of potential future challenges and solutions in blockchain technology, marking a foundational step towards addressing these complex issues comprehensively.