Bitter to Better - How to Make Bitcoin a Better Currency

By Simon Barber, Xavier Boyen, Elaine Shi, Ersin Uzun. 2012

626 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

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Citations in the corpus

Zerocash: Decentralized Anonymous Payments from Bitcoin (2014, background): “While users may employ many identities (or pseudonyms) to enhance their privacy, an increasing body of research shows that anyone can de-anonymize Bitcoin by using information in the block chain [4, 5, 6], such as the structure of the transaction graph as well as the value and dates of transactions.”
Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies (2016, background): “Early Bitcoin studies gave a preliminary overview of the system’s strengths and weaknesses [Barber et al. 2012] and compared them to paper and electronic cash [Drainville 2012].”
Analysis on the influence factors of Bitcoin’s price based on VEC model (2017, background): “Barber et al. (2012) performed an in-depth investigation to understand what made Bitcoin so successful, while decades of research on cryptographic e-cash has not lead to a large-scale deployment.”
Virtual Relationships: Short- and Long-run Evidence from BitCoin and Altcoin Markets (2017, background): “ triggered large interest not only among virtual currency users and investors, but also in the scientific literature that has analyzed extensively the price formation of BitCoin (e.g. Grinberg, 2011; Barber et al., 2012; Kroll, Davey and Felten, 2013; Moore and Christin, 2013; Bouoiyour, Selmi and T”
A Fast and Scalable Payment Network with Bitcoin Duplex Micropayment Channels (2015, methodology): “[4] identified problems with data retention, which later were adopted to create the simplified payment verification, using filtering nodes for mobile clients.”
Amortizing Secure Computation with Penalties (2016, methodology): “Claim-or-refund transaction functionality F ∗ CR [6, 5, 19].”
Elliptic Curve Cryptography in Practice (2014, methodology): “[1, 45]), but we perform, as far as we are aware, the first asymmetric cryptographic “sanity” check; see Section 4.”
Blockchains for decentralized optimization of energy resources in microgrid networks (2017, methodology): “This paper relies on previous work for proofs of the security, transparency, and robustness of blockchain-based systems (see e.g. [14], [45]), and in future work we will explore the speciﬁc security concerns of the microgrid system outlined here.”
How to Use Bitcoin to Play Decentralized Poker (2015, neutral): “Ideal functionality F CR [10, 19, 20].”
How to Use Bitcoin to Design Fair Protocols (2014, methodology): “We note that variants of F CR have been constructed and used in [45,7,6].”
Beware the Middleman: Empirical Analysis of Bitcoin-Exchange Risk (2013, background): “A couple of works looked into the cryptographic aspects [15, 16, 17] and ways to either improve or build on Bitcoin.”
Double-spending fast payments in bitcoin (2012, background): “[26] analyze possible ways to enhance the resilience of Bitcoin against a number of security threats; they do not, however, analyze the security of fast Bitcoin payments.”
Zerocoin: Anonymous Distributed E-Cash from Bitcoin (2013, methodology): “For a more detailed explanation, we refer the reader to the original specification of Nakamoto [15] or to the summary of Barber et al. [2].”
Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019, methodology): “Another proposal consists on super-wallets, where the user keeps the main wallet in a secure vault, and then sub-wallets with limited amounts are derived for the smart phone wallet for a daily use [80], minimizing lost or theft damage.”
Solidus: Confidential Distributed Ledger Transactions via PVORM (2017, background): “Besides Zcash and Hawk, other schemes [6, 32, 41] provide various forms of mixing for decentralized cryp-tocurrencies (cryptographic or non-cryptographic) to enhance the anonymity and help obscure the transaction graph.”