Abstract
First, Arvind Narayanan and Andrew Miller, co-authors of the increasingly popular open-access Princeton Bitcoin textbook, provide an overview of ongoing research in cryptocurrencies. Second, Song Han provides an overview of hardware trends related to another long-studied academic problem that has recently seen an explosion in popularity: deep learning.
Recommendations
Making Smart Contracts Smarter
CCS '16: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications SecurityCryptocurrencies record transactions in a decentralized data structure called a blockchain. Two of the most popular cryptocurrencies, Bitcoin and Ethereum, support the feature to encode rules or scripts for processing transactions. This feature has ...
Introduction to Bitcoins, Blockchains and Smart Contracts
SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science EducationThis workshop introduces participants to bitcoins, blockchains and programming smart contracts using Ethereum Blockchains and the Solidity programming language. Cryptocurrencies such as Bitcoins use Blockchains and Smart Contracts to enforce ...
Exploiting smart contracts in PBFT-based blockchains: A case study in medical prescription system
AbstractSmart contracts allow application developers to automate business processes through a decentralized computation architecture. Contemporary blockchain platforms such as Ethereum and Hyperledger Fabric offer support for smart contracts ...
Comments