Overcoming Cryptographic Impossibility Results Using Blockchains
By Rishab Goyal, Vipul Goyal. 2017
64 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ian Miers
- Matthew D. Green
- Jinguang Han
- Gabriel Kaptchuk
- George Danezis
- Sarah Meiklejohn
- Nicolas van Saberhagen
- Susan Hohenberger
In Computer Vision and Pattern Recognition
In Information Systems
- Matthew D. Green
- Qingju Wang
- Yu Wang
- Ian Miers
- Jinguang Han
- Elmar Tischhauser
- Gabriel Kaptchuk
- W. Meng
Citations in the corpus
- Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2018, neutral): “A theoretical scheme [31] combines witness encryption with proof-of-stake blockchains to achieve one-time programs that resemble smart contracts but avoid use of trusted hardware.”
- Giving State to the Stateless: Augmenting Trustworthy Computation with Ledgers (2019, background): “This model has been previously investigated independently in a more limited fashion by other works, notably in the context of fair multiparty computation [22], [29].”
- When Intrusion Detection Meets Blockchain Technology: A Review (2018, background): “Goyal and Goyal [38] investigated how to use blockchains to overcome cryptographic impossibility results, where blockchain is used as an alternative to trusted setup, such as a common reference string, assumptions in cryptography to realize non-interactive zero-knowledge (NIZK) systems.”