The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts
By Fan Zhang, Warren He, Raymond Cheng, Jernej Kos, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew K. Miller, Dawn Song. 2020
8 citations recorded by the source corpus.
Although smart contracts inherit the availability and other security assurances of the blockchain, they are impeded by lack of confidentiality and poor performance. We present Ekiden, a system that aims to close these critical gaps by combining the blockchain with trusted execution environments.
Subfields: Artificial Intelligence, 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
- Dawn Song
- Ari Juels
- Warren He
- Andrew K. Miller
- Fan Zhang
- Raymond Cheng
- Noah M. Johnson
- Nicholas Hynes
In Information Systems
- Ari Juels
- Dawn Song
- Andrew K. Miller
- Fan Zhang
- Warren He
- Raymond Cheng
- Noah M. Johnson
- Nicholas Hynes
Citations in the corpus
- Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2018, background): “This is an extended version of the EuroS&P paper [20].”