Research on Anonymization and De-anonymization in the Bitcoin System

The Bitcoin system is an anonymous, decentralized crypto-currency. There are some deanonymizating techniques to cluster Bitcoin addresses and to map them to users' identifications in the two research directions of Analysis of Transaction Chain (ATC) and Analysis of Bitcoin Protocol and Network (ABPN). Nowadays, there are also some anonymization methods such as coin-mixing and transaction remote release (TRR) to cover the relationship between Bitcoin address and the user. This paper studies anonymization and de-anonymization technologies and proposes some directions for further research.

[1]  Elaine Shi,et al.  Bitter to Better - How to Make Bitcoin a Better Currency , 2012, Financial Cryptography.

[2]  Eli Ben-Sasson,et al.  Zerocash: Decentralized Anonymous Payments from Bitcoin , 2014, 2014 IEEE Symposium on Security and Privacy.

[3]  S A R A H M E I K L E J O H N,et al.  A Fistful of Bitcoins Characterizing Payments Among Men with No Names , 2013 .

[4]  Pedro Moreno-Sanchez,et al.  CoinShuffle: Practical Decentralized Coin Mixing for Bitcoin , 2014, ESORICS.

[5]  Jeremy Clark,et al.  Mixcoin: Anonymity for Bitcoin with Accountable Mixes , 2014, Financial Cryptography.

[6]  Malte Möser.  Anonymity of Bitcoin Transactions An Analysis of Mixing Services , 2013 .

[7]  A. Pfitzmann,et al.  A terminology for talking about privacy by data minimization: Anonymity, Unlinkability, Undetectability, Unobservability, Pseudonymity, and Identity Management , 2010 .

[8]  Alex Biryukov,et al.  Bitcoin over Tor isn't a Good Idea , 2014, 2015 IEEE Symposium on Security and Privacy.

[9]  David Chaum,et al.  Blind Signatures for Untraceable Payments , 1982, CRYPTO.

[10]  Matthew Green,et al.  Zerocoin: Anonymous Distributed E-Cash from Bitcoin , 2013, 2013 IEEE Symposium on Security and Privacy.

[11]  Stefan Katzenbeisser,et al.  Structure and Anonymity of the Bitcoin Transaction Graph , 2013, Future Internet.

[12]  Jianping Yu,et al.  Transaction Remote Release (TRR): A New Anonymization Technology for Bitcoin , 2015, ArXiv.

[13]  Luke Valenta,et al.  Blindcoin: Blinded, Accountable Mixes for Bitcoin , 2015, Financial Cryptography Workshops.

[14]  Craig Gentry,et al.  Pinocchio: Nearly Practical Verifiable Computation , 2013, 2013 IEEE Symposium on Security and Privacy.

[15]  Alex Biryukov,et al.  Deanonymisation of Clients in Bitcoin P2P Network , 2014, CCS.

[16]  Bart Preneel,et al.  Towards Measuring Anonymity , 2002, Privacy Enhancing Technologies.

[17]  Brian Neil Levine,et al.  Sybil-Resistant Mixing for Bitcoin , 2014, WPES.

[18]  Patrick D. McDaniel,et al.  An Analysis of Anonymity in Bitcoin Using P2P Network Traffic , 2014, Financial Cryptography.

[19]  Watson Ladd.  BLIND SIGNATURES FOR BITCOIN TRANSACTION ANONYMITY , 2012 .

[20]  Paul F. Syverson,et al.  Anonymous connections and onion routing , 1998, IEEE J. Sel. Areas Commun..

[21]  Adi Shamir,et al.  Quantitative Analysis of the Full Bitcoin Transaction Graph , 2013, Financial Cryptography.

[22]  Fergal Reid,et al.  An Analysis of Anonymity in the Bitcoin System , 2011, PASSAT 2011.

[23]  Bryan Ford,et al.  Dissent: accountable anonymous group messaging , 2010, CCS '10.

[24]  Klaus Wehrle,et al.  CoinParty: Secure Multi-Party Mixing of Bitcoins , 2015, CODASPY.

[25]  Jeremy Clark,et al.  Anonymity for Bitcoin with accountable mixes ( Full version ) , 2014 .

[26]  Pieter Wuille,et al.  Enabling Blockchain Innovations with Pegged Sidechains , 2014 .

[27]  Ghassan O. Karame,et al.  Evaluating User Privacy in Bitcoin , 2013, Financial Cryptography.

[28]  Ivan Damgård,et al.  Asynchronous Multiparty Computation: Theory and Implementation , 2008, IACR Cryptol. ePrint Arch..