Delegated Byzantine Fault Tolerance (dBFT)
Delegated Byzantine Fault Tolerance (dBFT) is a consensus mechanism utilized in blockchain networks to achieve agreement on the validity of transactions among decentralized nodes, particularly in the presence of potential malicious actors. It is an improvement over the traditional Byzantine Fault Tolerance (BFT) algorithm by introducing a delegation mechanism to select specific nodes responsible for validating transactions and maintaining the network's integrity.
In dBFT, network participants, often referred to as delegates or validators, are chosen through a voting or nomination process. These delegates are entrusted with the responsibility of validating transactions and producing new blocks. The selection of delegates can be based on various factors such as stakeholding, reputation, or a combination of both.
Once selected, these delegates engage in a series of rounds to reach consensus on the validity of transactions. Each round typically involves a designated delegate proposing a block of transactions, which is then validated and approved by other delegates through a voting process. Consensus is achieved when a supermajority of delegates (often two-thirds or more) agree on the proposed block.
dBFT offers several advantages over other consensus mechanisms, including faster transaction processing times, scalability, and resistance to certain types of attacks such as Sybil attacks. Additionally, it ensures network security and integrity by requiring a large portion of network participants to collude in order to compromise the system.
Examples of blockchain networks utilizing dBFT include:
1. NEO: NEO, often referred to as "Chinese Ethereum", utilizes dBFT as its consensus mechanism. In the NEO network, token holders vote for delegates who are responsible for validating transactions and maintaining the blockchain's integrity.
2. Ontology: Ontology, a blockchain platform focused on digital identity and data integration, also employs dBFT as its consensus mechanism. Delegates in the Ontology network are responsible for reaching consensus on transaction validity and block production.
In both examples, dBFT ensures efficient and secure transaction processing while maintaining decentralization and trust within the network.