Privacy-Preserving Blockchain Technologies

Autor: Dalton Cézane Gomes Valadares, Angelo Perkusich, Aldenor Falcão Martins, Mohammed B. M. Kamel, Chris Seline
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Sensors, Vol 23, Iss 16, p 7172 (2023)
Druh dokumentu: article
ISSN: 1424-8220
91325277
DOI: 10.3390/s23167172
Popis: The main characteristics of blockchains, such as security and traceability, have enabled their use in many distinct scenarios, such as the rise of new cryptocurrencies and decentralized applications (dApps). However, part of the information exchanged in the typical blockchain is public, which can lead to privacy issues. To avoid or mitigate these issues, some blockchains are applying mechanisms to deal with data privacy. Trusted execution environments, the basis of confidential computing, and secure multi-party computation are two technologies that can be applied in that sense. In this paper, we analyze seven blockchain technologies that apply mechanisms to improve data privacy. We define seven technical questions related to common requirements for decentralized applications and, to answer each question, we review the available documentation and gather information from chat channels. We briefly present each blockchain technology and the answers to each technical question. Finally, we present a table summarizing the information and showing which technologies are more prominent.
Databáze: Directory of Open Access Journals
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