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Area of Science:

  • * Cryptocurrency security and blockchain network analysis.
  • * Applied cryptography and distributed systems.

Background:

  • * Proof-of-work (PoW) is the core of many cryptocurrency validation networks, relying on miners to solve complex problems.
  • * Miners are incentivized to act honestly, but strategic behaviors like selfish mining pose a security concern.
  • * Selfish mining involves withholding newly discovered blocks to gain an unfair advantage.

Purpose of the Study:

  • * To empirically investigate the occurrence of strategic mining behaviors in popular cryptocurrencies.
  • * To develop and apply a statistical method for detecting selfish mining attacks.
  • * To identify evidence of coordinated selfish mining activities.

Main Methods:

  • * Developed a statistical test analyzing successive block discovery times for anomalies.
  • * Applied heuristics-based address clustering to enhance detection accuracy.
  • * Analyzed data from Bitcoin, Litecoin, Monacoin, Ethereum, and Bitcoin Cash.

Main Results:

  • * Detected a significant presence of abnormal mining behavior in Monacoin and Bitcoin Cash.
  • * Observed a lesser extent of abnormal behavior in Ethereum.
  • * Identified potential mining cartels engaged in coordinated selfish mining in Monacoin.

Conclusions:

  • * Strategic mining behaviors, including selfish mining, are present in real-world cryptocurrency networks.
  • * The proposed statistical method effectively detects these illicit activities.
  • * Empirical evidence supports the vulnerability of PoW systems to strategic miner manipulation.