算法

加密货币:

2,117

交易所:

10

市值:

$2,243,771,578,670

24小时交易量:

$34,180,051,536

Byzantine Fault Tolerance

BFT

排名 #19

$3,981,194,507

1

1

赢家 (undefined)%

24小时

输家 (undefined)%

排名

19

资产

2

市值

$3,981,194,507

24小时交易量

$40,220,006

赢家

1

输家

1

概览
资产

$3,981,194,507

市值

$40,220,006

交易量

19

排名

1

赢家

1

输家

-0.84

%

变动 24小时

9.70

%

变动 7天

1小时

-1.25

%

1天

-0.840

%

1周

9.70

%

1个月

-10.29

%

2个月

-3.46

%

3个月

44.65

%

6个月

89.41

%

1年

247.68

%

关于 Byzantine Fault Tolerance

The Byzantine Fault Tolerance (BFT) algorithm is a consensus algorithm designed to ensure that a distributed system can reach agreement even in the presence of malicious or faulty nodes. This algorithm is especially important for blockchain networks, where multiple nodes must agree on the state of the network.

The BFT algorithm assumes that up to one-third of the nodes in a network may be faulty or compromised. To reach consensus, the algorithm requires at least two-thirds of the nodes to be honest and non-malicious.

The BFT algorithm works by dividing the network into several subgroups, or shards, each of which is responsible for a portion of the network's transactions. Each shard has its own consensus process, and the nodes in each shard are responsible for validating transactions and updating the state of the network.

To achieve consensus, the BFT algorithm uses a multi-step process. First, a node broadcasts a proposed transaction to the other nodes in its shard. These nodes validate the transaction and then pass it on to the other shards for further validation.

Once a transaction has been validated by a sufficient number of nodes, it is added to the blockchain. The BFT algorithm ensures that the network remains secure by requiring nodes to constantly update their view of the network and to monitor for any suspicious or malicious behavior.

Overall, the Byzantine Fault Tolerance algorithm is a critical component of many blockchain networks, helping to ensure that these networks remain secure and resilient even in the face of adversarial actors.