2 Search Results for "Buckland, Chris"

Document
DOI: 10.4230/LIPIcs.AFT.2023.23
Buying Time: Latency Racing vs. Bidding for Transaction Ordering

Authors: Akaki Mamageishvili, Mahimna Kelkar, Jan Christoph Schlegel, and Edward W. Felten

Published in: LIPIcs, Volume 282, 5th Conference on Advances in Financial Technologies (AFT 2023)

Abstract
We design TimeBoost: a practical transaction ordering policy for rollup sequencers that takes into account both transaction timestamps and bids; it works by creating a score from timestamps and bids, and orders transactions based on this score. TimeBoost is transaction-data-independent (i.e., can work with encrypted transactions) and supports low transaction finalization times similar to a first-come first-serve (FCFS or pure-latency) ordering policy. At the same time, it avoids the inefficient latency competition created by an FCFS policy. It further satisfies useful economic properties of first-price auctions that come with a pure-bidding policy. We show through rigorous economic analyses how TimeBoost allows players to compete on arbitrage opportunities in a way that results in better guarantees compared to both pure-latency and pure-bidding approaches.
Cite as

Akaki Mamageishvili, Mahimna Kelkar, Jan Christoph Schlegel, and Edward W. Felten. Buying Time: Latency Racing vs. Bidding for Transaction Ordering. In 5th Conference on Advances in Financial Technologies (AFT 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 282, pp. 23:1-23:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{mamageishvili_et_al:LIPIcs.AFT.2023.23,
  author =	{Mamageishvili, Akaki and Kelkar, Mahimna and Schlegel, Jan Christoph and Felten, Edward W.},
  title =	{{Buying Time: Latency Racing vs. Bidding for Transaction Ordering}},
  booktitle =	{5th Conference on Advances in Financial Technologies (AFT 2023)},
  pages =	{23:1--23:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-303-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{282},
  editor =	{Bonneau, Joseph and Weinberg, S. Matthew},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2023.23},
  URN =		{urn:nbn:de:0030-drops-192120},
  doi =		{10.4230/LIPIcs.AFT.2023.23},
  annote =	{Keywords: Transaction ordering, First-come-first-serve, First-price auctions}
}
Document
DOI: 10.4230/OASIcs.Tokenomics.2019.13
MixEth: Efficient, Trustless Coin Mixing Service for Ethereum

Authors: István András Seres, Dániel A. Nagy, Chris Buckland, and Péter Burcsi

Published in: OASIcs, Volume 71, International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2019)

Abstract
Coin mixing is a prevalent privacy-enhancing technology for cryptocurrency users. In this paper, we present MixEth, which is a trustless coin mixing service for Turing-complete blockchains. MixEth does not rely on a trusted setup and is more efficient than any proposed trustless coin tumbler. It requires only 3 on-chain transactions at most per user and 1 off-chain message. It achieves strong notions of anonymity and is able to resist denial-of-service attacks. Furthermore the underlying protocol can also be used to efficiently shuffle ballots, ciphertexts in a trustless and decentralized manner.
Cite as

István András Seres, Dániel A. Nagy, Chris Buckland, and Péter Burcsi. MixEth: Efficient, Trustless Coin Mixing Service for Ethereum. In International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2019). Open Access Series in Informatics (OASIcs), Volume 71, pp. 13:1-13:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

Copy BibTex To Clipboard

@InProceedings{seres_et_al:OASIcs.Tokenomics.2019.13,
  author =	{Seres, Istv\'{a}n Andr\'{a}s and Nagy, D\'{a}niel A. and Buckland, Chris and Burcsi, P\'{e}ter},
  title =	{{MixEth: Efficient, Trustless Coin Mixing Service for Ethereum}},
  booktitle =	{International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2019)},
  pages =	{13:1--13:20},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-108-5},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{71},
  editor =	{Danos, Vincent and Herlihy, Maurice and Potop-Butucaru, Maria and Prat, Julien and Tucci-Piergiovanni, Sara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Tokenomics.2019.13},
  URN =		{urn:nbn:de:0030-drops-119770},
  doi =		{10.4230/OASIcs.Tokenomics.2019.13},
  annote =	{Keywords: Cryptography, Verifiable shuffle, Anonymity, Cryptocurrency, Ethereum, Coin mixer, State Channel}
}
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