Blockchains are decentralized networks designed to be secure, yet they rely on a huge network of individual nodes who operate autonomously. While most nodes follow the protocol, some can act maliciously, either by accident or intent. The incentives for tricking the system are high, and bad actors may attempt to manipulate transactions or disrupt the network.
With rogue nodes are a constant threat, how can blockchain networks maintain security even when some participants act against the system?
This is where Byzantine fault tolerance (BFT) comes into play, allowing the network to continue to operate properly even in the event of node failure or a malicious attack. The Byzantine generals problem serves as the foundation for understanding this issue.
In this article, we’ll explore BFT, the Byzantine generals problem, and how blockchains deal with malicious actors.
Byzantine fault tolerance refers to a system’s ability to continue operating correctly even when some components provide false or misleading information. It ensures consensus among participants despite the presence of faulty or deceptive actors. This concept is crucial in distributed computing, where nodes must agree on a single source of truth.
BFT is widely applied in various sectors beyond blockchain. It is used in aviation systems to ensure flight controls remain functional even if some sensors provide incorrect readings. In addition, nuclear power plants implement BFT to prevent catastrophic failures due to faulty input data. In blockchain networks, BFT safeguards transaction integrity by ensuring consensus among participants despite potential threats.
The Byzantine generals problem is a thought experiment that illustrates the challenges of achieving consensus in a decentralized system. Imagine a group of generals surrounding a city, each commanding their own army. The generals must decide collectively whether to attack or retreat. However, they can only communicate via messengers, and some generals or messengers may be traitors providing false information.
For a successful attack, all loyal generals must agree on a common plan. If they act independently based on conflicting messages, the mission will fail. For example, if just one of the messengers is malicious and delivers the wrong command to a general, the siege of the city won’t be successful.
This is often used as an analogy for decentralized systems such as blockchain, where the network relies on nodes behaving honestly and efficiently for the network to run securely. Like the Byzantine generals, each node is acting autonomously, but makes a key contribution to the outcome of the network’s processes.
Decentralized systems face several risks, making consensus difficult to achieve:
In blockchain networks, the Byzantine generals problem manifests as the challenge of ensuring that all nodes agree on the validity of transactions. Let’s take the Bitcoin network as an example. Nodes (akin to generals) validate and record transactions in a distributed ledger. If dishonest nodes submit conflicting transaction data, the integrity of the entire system is at risk.
Furthermore, one of the biggest threats is double-spending, where a user attempts to spend the same Bitcoin more than once. If the network cannot distinguish between legitimate and fraudulent transactions, trust collapses. If Bitcoin became unreliable due to double spending, its value would plummet, leading to the failure of the entire system. To counteract this, Bitcoin employs Proof-of-Work (PoW) to establish Byzantine fault tolerance.
Bitcoin implements Proof-of-Work as a solution to the Byzantine generals problem. Instead of relying on verbal consensus among nodes, PoW requires participants to solve complex cryptographic puzzles. This computational requirement ensures that tampering with the system is difficult and, more importantly, costly, making it economically inefficient to even attempt it.
In this scenario, miners act as generals, verifying transactions and adding them to the blockchain. Since solving these puzzles requires significant computing power, an attacker would need to control more than 50% of the network’s computational power to manipulate the ledger. Bitcoin’s total hash rate is roughly 220 EH (exahashes) per second, and even the biggest BTC mining farms in the world aren’t close to 50% of that.
In addition to making attacks economically inefficient, PoW also prevents double-spending by ensuring each transaction is irreversible once confirmed. When a Bitcoin transaction enters the mempool, miners compete to validate it through complex calculations. Once added to a block, the transaction is considered secure. Subsequent confirmations make altering previous records increasingly difficult.
Because the Bitcoin blockchain continuously grows and each block references the previous one, changing historical transactions would require rewriting the entire chain. This is an almost impossible feat given the computational requirements. Consequently, this makes Bitcoin resistant to double spending and ensures continuous trust in the network.
Byzantine fault tolerance is the foundation of blockchain security, preventing malicious actors from compromising the network. The Byzantine Generals Problem illustrates the difficulty of achieving consensus in decentralized systems, and Bitcoin’s Proof-of-Work mechanism effectively addresses this challenge.
Without BFT, blockchain networks would be vulnerable to fraud, making trustless digital transactions impossible. New consensus mechanisms may further refine Byzantine fault tolerance, enhancing security and scalability for the future of decentralized finance.