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Semi‐selfish mining based on hidden Markov decision process
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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IPBSM: An optimal bribery selfish mining in the presence of intelligent and pure attackers
inferredcites →https://doi.org/10.1002/int.22282openalex-snapshot
Optimal mixed block withholding attacks based on reinforcement learning
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Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol
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Majority Is Not Enough: Bitcoin Mining Is Vulnerable
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Adversarial behaviours in mixing coins under incomplete information
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Incentive compatible and anti-compounding of wealth in proof-of-stake
inferredcites →https://doi.org/10.1109/comst.2020.2969706openalex-snapshot
A Survey of Distributed Consensus Protocols for Blockchain Networks
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On Power Splitting Games in Distributed Computation: The Case of Bitcoin Pooled Mining
inferredcites →https://doi.org/10.1109/eurosp.2016.32openalex-snapshot
Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack
inferredcites →https://doi.org/10.1145/3133956.3134019openalex-snapshot
Be Selfish and Avoid Dilemmas
inferredcites →https://doi.org/10.1145/3196494.3196512openalex-snapshot
On the Strategy and Behavior of Bitcoin Mining with N-attackers
inferredcites →https://doi.org/10.1145/3319535.3354203openalex-snapshot
Power Adjusting and Bribery Racing
inferredcites →https://doi.org/10.1155/2020/8839047openalex-snapshot
Rational Protocols and Attacks in Blockchain System
inferredcites →https://doi.org/10.2139/ssrn.3221233openalex-snapshot
Incentive Compatibility on the Blockchain
inferredcites →https://doi.org/10.21428/58320208.8e7f4fabopenalex-snapshot
SoK: Tools for Game Theoretic Models of Security for Cryptocurrencies
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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