A Taxonomic Hierarchy of Blockchain Consensus Algorithms: An Evolutionary Phylogeny Approach

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 5; p. 2739
• Main Authors: Kim, Heesang, Kim, Dohoon
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 02.03.2023; MDPI
• Subjects: Algorithms; Analysis; Blockchain; Byzantine fault; Classification; Cluster Analysis; Clustering; Consensus; crash fault; Cryptography; Decision making; Digital currencies; distributed system; Domains; Evolutionary algorithms; Fault tolerance; Methods; Phylogeny; R&D; Research & development; Software; Taxonomy; Transition rules; Germany; consensus; crash fault; fault tolerance; taxonomic hierarchy; blockchain; distributed system; taxonomic tree; classification; Byzantine fault; taxonomic rank

Countless endeavors have been undertaken to address the Byzantine Generals Problem, a generalization of the Two Generals Problem. The emergence of proof of work (PoW) for Bitcoin has led to various consensus algorithms diverging, and comparable existing consensus algorithms are being gradually utili...