Daniel Genkin
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Abstract
When it comes to anonymizing cryptocurrencies, one size most definitely does not fit all.
- Androulaki, E., Karame, G., Roeschlin, M., Scherer, T. and Capkun, S. Evaluating user privacy in Bitcoin. In Proceedings of FC 2013, 34--51.Google Scholar
Cross Ref
- Ben-Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E. and Virza, M. Zerocash: Decentralized anonymous payments from Bitcoin. In Proceedings of IEEE SP 2014, 459--474. Google ScholarDigital Library
- Biryukov, A. and Khovratovich, D. Equihash: Asymmetric proof-of-work based on the Generalized Birthday Problem. In Proceedings of NDSS 2016.Google ScholarCross Ref
- Biryukov, A. and Khovratovich, D. and Pustogarov, I. Deanonymisation of clients in Bitcoin P2P network. In Proceedings of ACM CCS 2014, 15--29. Google ScholarDigital Library
- Biryukov, A. and Pustogarov, I. Bitcoin over Tor isn't a Good Idea. In Proceedings of IEEE SP, 2015, 122--134. Google ScholarDigital Library
- Bissias, G.D., Ozisik, A.P., Levine, B.N. and Liberatore, M. Sybil-resistant mixing for Bitcoin. In Proceedings of WPES, 2014, 149--158. Google ScholarDigital Library
- Bonneau, J., Miller, A., Clark, J., Narayanan, A., Kroll, J.A. and Felten, E.W. SoK: Research perspectives and challenges for Bitcoin and cryptocurrencies. In Proceedings of IEEE SP, 2015, 104--121. Google ScholarDigital Library
- Bonneau, J., Narayanan, A., Miller, A., Clark, J., Kroll, J.A. and Felten, E.W. Mixcoin: Anonymity for Bitcoin with accountable mixes. In Proceedings of FC, 2014, 486--504.Google Scholar
- Camenisch, J. and Lysyanskaya, A. Dynamic accumulators and application to efficient revocation of anonymous credentials. In Proceedings of CRYPTO, 2002, 61--76. Google ScholarDigital Library
- Canetti, R. Universally composable security: A new paradigm for cryptographic protocols. In Proceedings of FOCS, 2001, 136--145. Google ScholarDigital Library
- Chaum, D. Blind signatures for untraceable payments. In Proceedings of CRYPTO '82, 199-203.Google Scholar
- Fujisaki, E. and Suzuki, K. Traceable ring signature. In Proceedings of PKC, 2007, 181--200. Google ScholarDigital Library
- Gennaro, R., Gentry, C., Parno, B. and Raykova, M. Quadratic span programs and succinct NIZKs without PCPs. In Proceedings of EUROCRYPT, 2013, 626--645.Google Scholar
- Gentry, C. and Wichs, D. Separating succinct non-interactive arguments from all falsifiable assumptions. In Proceedings of STOC, 2011, 99--108. Google ScholarDigital Library
- Green, M.D. and Miers, I. Bolt: Anonymous payment channels for decentralized currencies. IACR Cryptology ePrint Archive, 2016, 701.Google Scholar
- Heilman, E., Baldimtsi, F., Alshenibr, L., Scafuro, A. and Goldberg, S. TumbleBit: An untrusted tumbler for Bitcoin-compatible anonymous payments. In Proceedings of NDSS, 2017.Google Scholar
- Hileman, G. and Rauchs, M. Global cryptocurrency benchmarking study. Cambridge Centre for Alternative Finance Global Cryptocurrency Benchmarking Study, 2017.Google Scholar
- Juels A., Kosba, A. E., and Shi, E. The ring of Gyges: Investigating the future of criminal smart contracts. In Proceedings of ACM CCS, 2016, 283--295. Google ScholarDigital Library
- Kosba, A.E., Miller, A., Shi, E, Wen, Z., and Papamanthou, C. Hawk: The blockchain model of cryptography and privacy-preserving smart contracts. In Proceedings of IEEE SP, 2016, 839--858.Google Scholar
- Maxwell, G. CoinJoin: Bitcoin privacy for the real world. bitcointalk.org, Aug. 2013.Google Scholar
- Maxwell, G. CoinSwap: Transaction graph disjoint trustless trading. bitcointalk.org, Oct. 2013.Google Scholar
- Meiklejohn, S. and Orlandi, C. Privacy-enhancing overlays in Bitcoin. In Proceedings of FC Workshops, BITCOIN, WAHC, and Wearable, 2015, 127--141.Google ScholarCross Ref
- Meiklejohn, S., Pomarole, M., Jordan, G., Levchenko, K., McCoy, D., Voelker, G. M., and Savage, S. A fistful of Bitcoins: Characterizing payments among men with no names. In Proceedings of IMC, 2013, 127--140. Google ScholarDigital Library
- Merkle, R.C. A certified digital signature. In Proceedings of CRYPTO '89, 218--238. Google ScholarDigital Library
- Miers, I., Garman, C., Green, M., and Rubin, A.D. Zerocoin: Anonymous distributed e-cash from Bitcoin. In Proceedings of IEEE SP, 2013, 397--411. Google ScholarDigital Library
- Moreno-Sanchez, P., Kate, A., Maffei, M., and Pecina, K. Privacy preserving payments in credit networks: Enabling trust with privacy in online marketplaces. In Proceedings of NDSS, 2015.Google ScholarCross Ref
- Möser, M. An Inquiry into Money Laundering Tools in the Bitcoin Ecosystem. In IEEE 2013 eCrime Researchers Summit.Google ScholarCross Ref
- Nakamoto, S. Bitcoin: A Peer-to-Peer Electronic Cash System, 2008; http://bitcoin.org/bitcoin.pdf.Google Scholar
- Noether, S., Mackenzie, A., and the Monero Research Lab. Ring confidential transactions. Ledger 1 (2016) 1--18.Google ScholarCross Ref
- Reid, F. and Harrigan, M. An analysis of anonymity in the Bitcoin system. In Proceedings of IEEE PASSAT and SocialCom, 2011, 1318--1326.Google Scholar
- Ron, D. and Shamir, A. Quantitative analysis of the full Bitcoin transaction graph. In Proceedings of FC 2013, 6--24.Google ScholarCross Ref
- Ruffing, T. and Moreno-Sanchez, P. Mixing confidential transactions: Comprehensive transaction privacy for bitcoin. IACR Cryptology ePrint Archive, 2017, 238.Google Scholar
- Ruffing, T., Moreno-Sanchez, P., and Kate, A. CoinShuffle: Practical decentralized coin mixing for Bitcoin. In Proceedings of ESORICS, 2014. Google ScholarDigital Library
- Ruffing, T., Moreno-Sanchez, P., and Kate, A. P2P mixing and unlinkable Bitcoin transactions. In Proceedings of NDSS, 2017.Google ScholarCross Ref
- Sahai, A. Non-malleable non-interactive zero knowledge and adaptive chosen ciphertext security. In Proceedings of FOCS '99, 543--553. Google ScholarDigital Library
- Sweeney, L. k-Anonymity: A model for protecting privacy. Intern. J. Uncertainty, Fuzziness and Knowledge-Based Systems 10, 5 (2002), 557--570. Google ScholarDigital Library
- Valenta, L. and Rowan, B. Blindcoin: Blinded, accountable mixes for Bitcoin. In Proceedings of the 2015 FC International Workshops, BITCOIN, WAHC, and Wearable, 112--126.Google Scholar
- van Saberhagen, N. CryptoNote v 2.0; https://cryptonote.org/whitepaper.pdf.Google Scholar
- Ziegeldorf, J. H., Grossmann, F., Henze, M., Inden, N., and Wehrle, K. CoinParty: Secure multi-party mixing of Bitcoins. CODASPY (2015), 75--86. Google ScholarDigital Library
Index Terms
- Privacy in decentralized cryptocurrencies
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