Introduction to Selfish Mining with Matt Weinberg | a16z crypto research talks
Source: YouTube · a16z crypto · published Nov 4, 2022 · 54:46
Selfish mining is an attack strategy where miners with at least 1/3 of the network's computational power can earn extra rewards by selectively hiding and broadcasting blocks to manipulate the blockchain's longest chain 0:00.
Key Takeaways:
• Selfish mining allows miners to profit by withholding block discoveries until challenged, then broadcasting strategically to orphan honest blocks 3:45
• With 33%+ hash power, this attack becomes profitable even when the attacker loses all network tie-breaks and faces unfavorable communication assumptions 7:20
• The strategy can be analyzed using Markov chains to calculate the exact profitability threshold and reward function based on the attacker's computational power 12:30
Understanding these incentive vulnerabilities is crucial for designing more secure blockchain consensus mechanisms.
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First 800 characters of the transcript
so I am going to focus this talk on giving um an introduction to selfish mining okay so uh uh what's my goal so I'm gonna spend the first portion of the talk um just giving a clear introduction of uh selfish mining so selfish mining is um this uh attack that was discovered uh now maybe eight years ago uh um specifically for Bitcoin and that refers to just some way that you can um not follow the longest chain protocol and you can make some extra money if you have sufficient uh hash power to do so and uh what I'll do is just dive straight into that what I want to focus on is I'm going to present a formal model where this analysis was done and I'm going to show the analysis technique so I'm not going to slog through all of the calculations to get the result but I am going to show you kind of …