What Is Byzantine Fault Tolerance in Blockchain? A Clear Breakdown

What Is Byzantine Fault Tolerance in Blockchain? A Clear Breakdown Nov, 19 2025

BFT Node Calculator

Calculate how many faulty nodes your Byzantine Fault Tolerance network can tolerate and the minimum nodes needed for consensus.

Note For Byzantine Fault Tolerance, the network can tolerate up to 1/3 faulty nodes while maintaining consensus. This means 2/3 of nodes must agree on transactions.
Enter the total number of nodes in your BFT network

Network Security Results

Maximum Faulty Nodes Tolerated
Minimum Nodes for Consensus
Security Status

Understanding the results: This calculator uses the Byzantine Fault Tolerance rule that the network can tolerate up to 1/3 of nodes being faulty. To achieve consensus, at least 2/3 of nodes must agree on transactions.

Imagine a group of generals surrounding a city, each commanding their own army. They need to decide whether to attack or retreat. But some generals might be traitors, sending conflicting messages to cause chaos. How do the loyal generals agree on the same plan - without knowing who’s lying? This is the Byzantine Generals’ Problem, and it’s the core challenge that makes blockchain secure.

Byzantine Fault Tolerance (BFT) is the solution. It’s what lets a blockchain network keep working even when some nodes are hacked, glitchy, or intentionally trying to break it. Without BFT, blockchains couldn’t trust each other. They’d collapse under lies, errors, or attacks. That’s why every serious blockchain - whether it’s used for money, supply chains, or voting - needs BFT to function.

How Byzantine Fault Tolerance Works

BFT isn’t magic. It’s math. At its heart, it’s about reaching agreement when some participants can’t be trusted. In a blockchain, each node (a computer in the network) holds a copy of the ledger. When a new transaction comes in, nodes must agree on whether it’s valid. If even one node lies and says a fake transaction is real, the whole system breaks.

BFT solves this by requiring a supermajority vote. If more than two-thirds of the nodes agree on a transaction, it’s confirmed. If one-third or fewer are malicious, they can’t outvote the honest majority. That’s the rule: you can tolerate up to one-third faulty nodes and still stay secure. This isn’t a guess - it’s a proven limit in distributed systems theory.

Here’s how it plays out in practice:

  1. A node proposes a new block of transactions.
  2. All other nodes check the block for validity - signatures, balances, rules.
  3. They send back votes: “Yes” or “No.”
  4. Multiple rounds of voting happen until a clear majority forms.
  5. Once two-thirds agree, the block is locked in. No going back.

This process repeats for every block. Even if a hacker controls 30% of nodes, they can’t trick the rest. Honest nodes will always spot and reject bad data.

Practical Byzantine Fault Tolerance (PBFT)

The original idea from the 1980s was too slow for real use. Then, in 1999, Barbara Liskov and Miguel Castro released Practical Byzantine Fault Tolerance - or PBFT. This version made BFT fast enough for actual systems.

PBFT works in four phases:

  1. Pre-prepare: The leader node sends a proposal to all others.
  2. Prepare: Nodes check the proposal and vote “I’ve seen this.”
  3. Commit: Nodes vote again, saying “I’m ready to finalize.”
  4. Reply: Once enough commits arrive, the block is added.

Each step requires messages to be sent and received. That’s why PBFT works best with a small, known group of nodes - like in enterprise blockchains. Hyperledger Fabric uses PBFT because it’s built for banks and governments, not public crypto. It’s fast, deterministic (no waiting for confirmations), and secure - but it can’t scale to millions of users.

PBFT blockchain phases illustrated with glowing arrows and analog dials in a 1950s-inspired control room.

BFT in Real Blockchain Networks

Not all blockchains use PBFT. Different systems tweak BFT to fit their needs.

Tendermint powers the Cosmos network. It’s a BFT algorithm that gives instant finality - meaning once a transaction is confirmed, it’s done. No waiting for 6 blocks like in Bitcoin. Tendermint handles thousands of transactions per second by limiting consensus to a smaller set of validators. It’s still BFT - just optimized for speed.

Delegated Proof of Stake (DPoS), used by networks like EOS and Tron, is a lighter version. Instead of every node voting, users elect a few delegates (like 21) to validate blocks. These delegates run a BFT-style vote among themselves. It’s faster and cheaper, but less decentralized. If 7 of the 21 delegates go rogue, the system can be compromised. So DPoS trades some security for performance.

And then there’s Bitcoin. It doesn’t use BFT. It uses Proof of Work (PoW). But it still solves the Byzantine problem - just differently. In PoW, nodes compete to solve a hard math puzzle. The longest chain wins. Malicious nodes can try to rewrite history, but they’d need more than 50% of the network’s computing power. That’s expensive and hard to pull off. So Bitcoin’s version of BFT is brute-force security, not voting.

Why BFT Matters More Than You Think

Most people think blockchain is about crypto. But the real breakthrough is trust without a middleman. BFT makes that possible.

Think about cross-border payments. Traditional systems rely on banks clearing transactions through intermediaries. They’re slow and expensive. With a BFT blockchain, banks can connect directly. Each bank runs a node. They vote on payments. No SWIFT network needed. JPMorgan’s Onyx uses BFT for exactly this.

Or consider supply chains. A shipment moves from factory to warehouse to store. Each step is recorded on a blockchain. If one company tries to falsify delivery times, BFT stops them. The other nodes reject the lie. That’s why companies like Walmart and Maersk use BFT-based blockchains.

Even voting systems are testing BFT. Estonia’s e-residency program uses blockchain to secure digital identities. If someone tries to cast a fake vote, the network’s BFT rules catch it. Honest votes win.

A merchant tries to cheat a blockchain ledger, but robotic validators reject the fraud in a retro-futuristic marketplace.

The Trade-Off: Security vs. Speed

BFT isn’t perfect. It’s slow. Every message must be sent to every node. With 100 nodes, that’s 10,000 messages per round. With 1,000 nodes? A million. That’s why PBFT doesn’t work for public chains like Ethereum or Bitcoin.

Here’s the trade-off:

Comparison of Consensus Mechanisms
System Security Speed Decentralization Best For
Byzantine Fault Tolerance (PBFT) Very High Medium Low (known nodes) Enterprise, finance
Tendermint (BFT-based) High High Medium Public chains, DeFi
Proof of Work (Bitcoin) High Low High Crypto, store of value
Delegated PoS Medium Very High Low Apps needing speed

If you need speed and low cost, PoS or DPoS might be better. But if you’re handling millions in transactions - like a bank or government - BFT is non-negotiable. It’s the only way to guarantee that no single actor can corrupt the system.

What’s Next for BFT?

Researchers are working on making BFT faster and more scalable. New versions like HotStuff and SBFT reduce the number of communication rounds. Others combine BFT with sharding (splitting the network into smaller parts) or zero-knowledge proofs (proving something’s true without revealing details).

In July 2025, updates to PBFT improved its performance under network delays - a big deal for global systems. The trend is clear: hybrid consensus is the future. A network might use BFT for high-value transactions and PoS for low-stakes ones. That way, you get security where it matters, and speed where you need it.

One thing won’t change: BFT will remain the gold standard for trust in decentralized systems. No other method gives you the same mathematical guarantee. As long as blockchains handle money, identity, or critical infrastructure, BFT will be at the core.

Is Byzantine Fault Tolerance the same as Proof of Work?

No. Proof of Work (PoW) relies on computational power to secure the network - miners solve puzzles to add blocks. Byzantine Fault Tolerance (BFT) relies on voting among known nodes. PoW is slower but more decentralized. BFT is faster and more efficient but works best with a limited, trusted set of participants. Bitcoin uses PoW. Hyperledger Fabric uses BFT.

Can a blockchain with BFT be hacked?

It’s extremely hard. BFT can handle up to one-third of nodes being malicious. So unless attackers control more than 33% of the network - and can coordinate perfectly - they can’t break consensus. That’s why enterprise blockchains using BFT are considered among the most secure systems available. But if the network is small and poorly designed, it’s still vulnerable to insider attacks.

Why isn’t BFT used in Bitcoin?

Bitcoin was designed for maximum decentralization - anyone can join. BFT requires nodes to be known and trusted, which goes against that idea. Bitcoin’s Proof of Work allows open participation but sacrifices speed. BFT is better for permissioned systems where participants are vetted, like banks or governments.

What’s the difference between PBFT and Tendermint?

PBFT is the original practical version, used in Hyperledger Fabric. It’s reliable but scales poorly beyond a few hundred nodes. Tendermint is a newer, optimized BFT algorithm designed for public blockchains. It’s faster, supports thousands of transactions per second, and gives instant finality. Tendermint is more flexible and is used in Cosmos, while PBFT is more rigid and used in enterprise settings.

Do I need to understand BFT to use blockchain?

No. Just like you don’t need to know how electricity works to flip a light switch, you don’t need to understand BFT to send crypto or use a dApp. But if you’re building a blockchain, choosing a platform, or evaluating security for business use, understanding BFT is essential. It tells you whether the system can be trusted when things go wrong.