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From Wikipedia, the free encyclopedia

CoinJoin is an anonymization method for Bitcoin transactions proposed by Gregory Maxwell. It is based on the following idea: “When you want to make a payment, find someone else who also wants to make a payment and make a joint payment together.” When making a joint payment, there is no way to relate input and outputs in one bitcoin transaction and thus the exact direction of money movement remains unknown to third parties.

CoinJoin basic idea example: two transactions are joined into one while inputs and outputs are unchanged.
CoinJoin basic idea example: two transactions are joined into one while inputs and outputs are unchanged.

There are several implementation of anonymous Bitcoin transactions inspired by CoinJoin: SharedCoins,[1][non-primary source needed] Dark Wallet,[2] CoinShuffle,[3][unreliable source?] PrivateSend feature of Dash and JoinMarket.

CoinJoin-based mixing methods increase privacy for all users – even those not using mixing – because it is no longer likely that all inputs to a transaction come from a single wallet, and hence can no longer be reliably associated with a single user.

In November 2018, on the 10th anniversary of the Bitcoin protocol, a CoinJoin worth over $200,000 took place. This was Bitcoin's largest-ever anonymous transaction.[4]

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Transcription

Contents

CoinShuffle

CoinShuffle was proposed by researchers from Saarland University in 2014.[5][non-primary source needed] It further develops the CoinJoin concept and increases privacy by not requiring any trusted third-party to be involved in the creation of mixed transactions. In the original research paper presented at the 19th European Symposium on Research in Computer Security, CoinShuffle is described as a completely decentralized coin-mixing protocol “inspired by CoinJoin to ensure security against theft and by the accountable anonymous group communication protocol Dissent to ensure anonymity as well as robustness against [DoS] attacks”.[5][non-primary source needed]

Only a proof-of-concept implementation of CoinShuffle protocol was made available, written purely to evaluate the feasibility and performance.[6][non-primary source needed] It was followed by further research leading to the CoinShuffle++, ValueShuffle and PathShuffle proposals. ValueShuffle was presented at Scaling Bitcoin 2017 by Tim Ruffing (Saarland University).[7][non-primary source needed]

Security issues

CoinJoin requires that users negotiate transactions they wish to join. The first services to handle this (such as blockchain.info's SharedCoin) used centralized servers and required users to trust the operator of the service not to steal the bitcoins or allow others to do so. Centralized services may also compromise participants' privacy by keeping logs of the transactions they negotiate.[8][irrelevant citation] Decentralized implementations of CoinJoin such as JoinMarket attempt to circumvent various issues related to centralization.

The level of anonymity offered by CoinJoin can also be diminished if the protocol is implemented incorrectly. One such flaw was identified in blockchain.info's SharedCoin mixing service. Security consultant Kristov Atlas,[9][non-primary source needed] author of the book Anonymous Bitcoin,[10][non-primary source needed] detailed the flaw in an article entitled Weak Privacy Guarantees for SharedCoin Mixing Service.[11][non-primary source needed] In this article he states “the SharedCoin service should be used only as a light protective measure for financial privacy”. As part of his research, the author developed a tool called 'CoinJoin Sudoku'[12][non-primary source needed] that could identify SharedCoin transactions and detect relationships between specific payments and payees.[13]

See also

References

  1. ^ "Shared Coin - Free Trustless Private Bitcoin Transactions". SharedCoin site. Retrieved 12 Oct 2018.
  2. ^ Andy Greenberg (2014-04-29). "'Dark Wallet' Is About to Make Bitcoin Money Laundering Easier Than Ever". wired.com. Retrieved 12 Oct 2018.
  3. ^ Kyle Torpey (2015-01-27). "CoinShuffle Aims to Improve Privacy in Bitcoin". Inside Bitcoins. Retrieved 12 Oct 2018.
  4. ^ P. H. Madore (2018-11-02). "Making History: CoinJoin Developer Sends Largest-Ever Anonymous Bitcoin Transaction". Yahoo!_Finance.
  5. ^ a b Ruffing, Tim; Moreno-Sanchez, Pedro; Kate, Aniket (2014-08-14), CoinShuffle: Practical Decentralized Coin Mixing for Bitcoin (PDF), retrieved 12 Oct 2018
  6. ^ "CoinShuffle project page at Saarland University (CoinShuffle: Practical Decentralized Bitcoin Mixing)". crypsys.mmci.uni-saarland.de. Retrieved 12 Oct 2018.
  7. ^ Scaling Bitcoin (4 Nov 2017). "Scaling Bitcoin 2017 Stanford University - Day 1 Morning". YouTube. Retrieved 13 October 2018.
  8. ^ Jon Matonis (2014-03-17). "A Taxonomy of Bitcoin Mixing Services for Policymakers". CoinDesk.com. Retrieved 12 Oct 2018.
  9. ^ "Kristov Atlas at GitHub". GitHub.com. Retrieved 12 Oct 2018.
  10. ^ "About the Author – Anonymous Bitcoin Book". anonymousbitcoinbook.com. Retrieved 12 Oct 2018.
  11. ^ Kristov Atlas (2014-06-09). "Kristov Atlas Security Advisory <20140609-0>, Weak Privacy Guarantees for SharedCoin Mixing Service". Retrieved 12 Oct 2018.
  12. ^ "CoinJoin Sudoku - Weaknesses in SharedCoin, and CoinJoin research". Retrieved 12 Oct 2018.
  13. ^ Jon Southurst (2014-06-10). "Blockchain's SharedCoin Users Can Be Identified, Says Security Expert". CoinDesk.com. Retrieved 12 Oct 2018.
This page was last edited on 15 November 2018, at 02:43
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