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Glossary

Fraud Proof

A fraud proof is a cryptographic proof that demonstrates an invalid state transition was proposed, used in optimistic systems to challenge incorrect outputs.
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definition
SCALING MECHANISM

What is a Fraud Proof?

A fraud proof is a cryptographic mechanism that allows a single honest participant to challenge and correct invalid state transitions on a blockchain, enabling secure scaling through optimistic execution models.

A fraud proof is a cryptographic proof that demonstrates an invalid state transition has occurred on a blockchain or layer-2 network. It is the core security mechanism of optimistic rollups and similar optimistic execution systems. In these models, transactions are processed off-chain and new state roots are posted to a base layer (like Ethereum) under the assumption they are correct—this is the "optimistic" part. A challenge period (typically 7 days) follows, during which any network participant can scrutinize the posted data. If they detect fraud, they can generate and submit a fraud proof to the base layer, which will revert the incorrect state update and slash the bond of the malicious operator.

The technical construction of a fraud proof involves providing the minimal data needed to cryptographically verify the disputed computation. For a single-step fraud proof, the challenger submits the precise pre-state, the transaction input, and the post-state, allowing a verifier contract to re-execute a single instruction and prove its outcome is wrong. More advanced interactive fraud proofs use a bisection protocol (or verification game) where the challenger and the prover iteratively narrow down their dispute to a single opcode, minimizing the computational load on the base layer. This makes the proof verification extremely gas-efficient.

Fraud proofs are fundamentally different from validity proofs (like ZK-proofs). Validity proofs cryptographically prove correctness for every state transition, requiring no challenge period. Fraud proofs, by contrast, only disprove incorrectness when challenged, assuming honesty unless proven otherwise. This trade-off makes fraud proofs generally easier to implement for arbitrary EVM-compatible execution but introduces longer finality times due to the challenge window. The system's security relies on the 1-of-N honesty assumption: at least one honest, vigilant participant must be monitoring the chain and capable of submitting a proof.

The concept originated with early blockchain scaling research, notably in Plasma constructions and later formalized in projects like Optimism and Arbitrum. Its implementation requires careful data availability guarantees; if the transaction data needed to construct a proof is not published on-chain (a data availability problem), the system becomes vulnerable. Modern optimistic rollups like Arbitrum Nitro use multi-round interactive fraud proofs and compile execution traces to a custom AVM (Arbitrum Virtual Machine) to optimize proof complexity and cost.

In practice, fraud proofs enable high-throughput, low-cost transactions while inheriting the base layer's security for dispute resolution. They are a cornerstone of the modular blockchain stack, allowing execution to be decoupled from consensus and data availability. Their continued evolution focuses on reducing challenge periods via cryptographic assumptions like proof of stake slashing and improving the efficiency of the dispute resolution protocol to further enhance user experience and capital efficiency for staked operators.

how-it-works
OPTIMISTIC ROLLUP MECHANISM

How Fraud Proofs Work

Fraud proofs are a cryptographic dispute-resolution mechanism that underpins the security of Optimistic Rollups, enabling trust-minimized scaling by assuming transactions are valid unless proven otherwise.

A fraud proof is a cryptographic challenge that allows a single honest participant to prove that a state transition posted to a base layer (like Ethereum) is invalid. This mechanism is the core security guarantee of Optimistic Rollups, which operate on the principle of "innocent until proven guilty." The rollup's sequencer publishes compressed transaction data and the resulting new state root to the main chain, but does not provide validity proofs for every batch. Instead, a challenge period (typically 7 days) begins, during which any verifier can scrutinize the data and, if they detect fraud, submit a fraud proof to slash the sequencer's bond and revert the incorrect state.

The technical execution of a fraud proof involves a verifier performing a fault proof or interactive fraud proof. This is often structured as a multi-round, interactive game between the challenger and the sequencer (or other parties defending the state). They bisect the disputed state transition, narrowing it down through successive rounds to a single, minimal step of execution—such as a single opcode in the Ethereum Virtual Machine. This step is then verified on-chain, which is computationally cheap. The party that is proven wrong loses their staked collateral. This design ensures that verifying complex computation on-chain requires only a tiny, fixed cost.

Fraud proofs create powerful economic security. They align incentives by requiring sequencers to post a substantial bond that can be slashed if they act maliciously, while rewarding honest challengers with a portion of that bond. This model enables massive scalability, as the main chain only needs to process data availability and the rare fraud proof, not every computation. However, it introduces a withdrawal delay equal to the challenge period for users moving assets back to the main chain. Key implementations of this mechanism include Arbitrum Nitro and the earlier versions of Optimism, which pioneered the single-round fraud proof model.

key-features
MECHANICAL GUARANTEES

Key Features of Fraud Proofs

Fraud proofs are cryptographic mechanisms that allow a single honest participant to challenge and correct invalid state transitions on a blockchain, enabling secure scaling through optimistic execution.

01

Optimistic Execution

The core principle enabling scalability. Transactions are processed off-chain (e.g., on a rollup) and the resulting state is posted on-chain without immediate verification. This is based on the assumption that state transitions are correct, allowing for high throughput. A challenge period (typically 7 days) follows, during which any participant can submit a fraud proof to contest an invalid state root.

02

Interactive Challenge Protocol

When a state root is challenged, the system initiates a multi-round, on-chain bisection game (or dispute game) between the challenger and the proposer. This protocol efficiently pinpoints the exact step of execution where a disagreement occurred, minimizing the computational load on the base layer (L1). The game concludes with a single, verifiable instruction that the L1 can execute to determine the honest party.

03

Data Availability Requirement

For fraud proofs to be possible, the transaction data (calldata) for the off-chain blocks must be published and available on the base layer. This allows any verifier to reconstruct the state transition and validate a challenge. Systems that do not guarantee data availability (e.g., some validiums) cannot use fraud proofs and require different security models.

04

1-of-N Honesty Assumption

The security model relies on a single honest verifier assumption. The system is secure as long as at least one fully validating node is monitoring the chain and is willing to submit a proof during the challenge window. This is a weaker and more practical assumption than requiring a majority of nodes (as in Proof-of-Work/Stake) for consensus on every block.

05

Economic Finality & Bond Slashing

To disincentivize malicious proposals and false challenges, participants must post cryptoeconomic bonds. A proposer who submits an invalid state root will have their bond slashed if successfully challenged, with a portion awarded to the honest challenger. This aligns economic incentives with honest behavior.

06

Contrast with Validity Proofs

A key architectural distinction. Fraud proofs are refutative ("prove it's wrong") and require a challenge period, leading to delayed finality. Validity proofs (e.g., ZK-SNARKs) are attestative ("prove it's correct") and provide immediate cryptographic finality. Fraud proofs are generally considered easier to implement for general-purpose computation.

ecosystem-usage
FRAUD PROOF

Ecosystem Usage

Fraud proofs are a critical security mechanism in optimistic rollups, enabling trust-minimized scaling by allowing anyone to challenge and invalidate incorrect state transitions posted to a parent chain.

01

Core Mechanism in Optimistic Rollups

In an optimistic rollup, state transitions are assumed valid but can be challenged during a dispute window (typically 7 days). A fraud proof is the formal challenge submitted by a network participant (verifier) that proves a sequencer posted an invalid state root. This mechanism allows the system to inherit the security of the underlying L1 (like Ethereum) without requiring all nodes to re-execute every transaction.

02

Interactive Fraud Proofs

A sophisticated challenge protocol where the verifier and the sequencer engage in a multi-round bisection game (or dispute game) on-chain. They iteratively narrow down the dispute to a single instruction or state transition, minimizing the computational load and gas cost required for the L1 to adjudicate the fraud. This is the model used by Arbitrum and Optimism (with its Cannon fault proof system).

03

Non-Interactive Fraud Proofs (ZK Fault Proofs)

A single, succinct proof that can be verified on-chain without an interactive game. While similar in concept to a Validity Proof, it is generated only in the case of a suspected fault. This model aims to reduce the complexity and latency of the challenge process. Optimism's upcoming Superchain architecture is migrating to this model with its Cannon proof system.

04

Economic Security & Bond Slashing

Fraud proofs are secured by cryptoeconomic incentives. To post a state root, a sequencer must stake a bond. A successful fraud proof results in the slashing of this bond, which is used to reward the verifier who submitted the proof. This creates a strong disincentive for malicious behavior and aligns the system's security with financial penalties.

05

Verifier's Role & Permissionlessness

A core tenet is that anyone can be a verifier and submit a fraud proof. This permissionless watchtower model ensures censorship resistance and decentralization of the security function. Verifiers run a full node of the rollup, monitor state commitments posted to L1, and are economically incentivized to challenge invalid outputs to claim the sequencer's slashed bond.

06

Contrast with Validity Proofs

This highlights the two dominant L2 security models:

  • Fraud Proofs (Optimistic): Assume validity, with a challenge period for corrections. Offers lower computational overhead for provers but introduces a withdrawal delay.
  • Validity Proofs (ZK-Rollups): Use Zero-Knowledge proofs (like zk-SNARKs/zk-STARKs) to cryptographically prove correctness for every batch. Offers immediate finality and no challenge period, but requires specialized proving hardware. Both aim to scale Ethereum while leveraging its security.
SECURITY MODEL COMPARISON

Fraud Proof vs. Validity Proof

A comparison of the two primary cryptographic methods for ensuring state correctness in blockchain scaling solutions.

FeatureFraud Proof (Interactive)Validity Proof (zk-Proof)

Core Mechanism

Challenge-response game; assumes honesty unless proven fraudulent

Cryptographic proof (e.g., zk-SNARK, zk-STARK) verified on-chain

Security Assumption

1-of-N honest actor assumption

Cryptographic soundness assumption

Finality Speed

Delayed (includes challenge period, e.g., 7 days)

Instant (upon proof verification)

On-Chain Data Requirement

Requires full transaction data published (Data Availability)

Requires only validity proof and minimal state delta

Computational Overhead

Low for verifiers, high for challengers

High for proof generation, low for verification

Primary Use Case

Optimistic Rollups (e.g., Arbitrum, Optimism)

ZK-Rollups (e.g., zkSync, StarkNet)

Trust Model

Cryptoeconomic (staked actors enforce correctness)

Pure cryptographic (math ensures correctness)

Withdrawal Latency

Long (subject to challenge window)

Short (near-instant)

security-considerations
FRAUD PROOF

Security Considerations

Fraud proofs are cryptographic mechanisms that allow a light client to verify the correctness of state transitions without downloading the entire chain. They are a core security primitive for scaling solutions like optimistic rollups.

01

The Challenge Window

A fraud proof system relies on a challenge period (e.g., 7 days) where any network participant can dispute an invalid state root published by a sequencer. During this window, assets are locked and cannot be withdrawn. This creates a strong economic disincentive for fraud, as honest actors have ample time to detect and submit proof of an invalid transaction.

02

Data Availability Requirement

For a fraud proof to be constructed, the transaction data must be available. If a sequencer posts an invalid state root but withholds the underlying data, verifiers cannot generate the proof to challenge it. This is why solutions like optimistic rollups must post their transaction data to a data availability layer (like Ethereum's calldata or a dedicated DA layer), making it a non-negotiable security assumption.

03

Single Honest Verifier Assumption

The security model of fraud proofs relies on the "single honest verifier" assumption. It only requires one honest, economically rational participant with sufficient technical capability to monitor the chain and submit a proof. The system's safety does not depend on a majority of honest actors, which is a key difference from pure consensus-based systems.

04

Interactive vs. Non-Interactive Proofs

  • Interactive Fraud Proofs: Involve a multi-round challenge game (e.g., a bisection protocol) between the challenger and the sequencer to pinpoint the exact step of execution where fraud occurred. This minimizes computational load on the verifier.
  • Non-Interactive Fraud Proofs (zk-proofs): A validity proof (like a ZK-SNARK) is submitted with every block, proving correctness instantly. This removes the challenge window but requires more complex cryptography.
05

Implementation Risks & Edge Cases

Real-world implementations face complex risks:

  • Liveness Attacks: A malicious actor could spam challenges to delay withdrawals, even if all state roots are valid.
  • Prover Censorship: If the only entity capable of generating a fraud proof is censored, fraud could go unchallenged.
  • Bridging Vulnerabilities: The smart contract bridge that verifies fraud proofs on the parent chain becomes a critical, high-value attack target.
06

Comparison to Validity Proofs

Fraud proofs are the security backbone of optimistic rollups, while validity proofs (zero-knowledge proofs) secure ZK-rollups. The key trade-off:

  • Fraud Proofs: Assume honesty but allow for verification (optimistic). They are computationally cheaper to generate but require a long challenge period for security.
  • Validity Proofs: Cryptographically guarantee correctness (pessimistic). They enable instant finality but require significant, specialized computation to generate.
FRAUD PROOFS

Common Misconceptions

Fraud proofs are a critical security mechanism in blockchain scaling, but their implementation and guarantees are often misunderstood. This section clarifies key technical distinctions and limitations.

A fraud proof is a cryptographic proof that a specific state transition (like a transaction or block) is invalid, allowing a single honest participant to challenge and revert incorrect data posted by a potentially malicious actor. It works by having a prover (e.g., a rollup sequencer) post a commitment to new state data, while verifiers (full nodes or a decentralized network) monitor this data. If a verifier detects an invalid state transition, they can construct a succinct fraud proof—often a Merkle proof of the specific transaction and pre-state—and submit it to a smart contract on the parent chain (like Ethereum), which then slashes the prover's bond and reverts the faulty state.

Key components include:

  • State Commitments: Hashes (e.g., Merkle roots) representing the system's state.
  • Challenge Period: A window (typically 7 days) during which fraud proofs can be submitted.
  • Data Availability: Verifiers must have access to the underlying transaction data to verify correctness, which is why solutions like data availability sampling or posting data to the parent chain are essential.
SCALING MECHANISM

Fraud Proofs

Fraud proofs are a cryptographic security mechanism used in blockchain scaling solutions, particularly optimistic rollups, to ensure the validity of off-chain transactions without requiring every node to re-execute them.

A fraud proof is a cryptographic challenge that allows a single honest participant to prove that an invalid state transition (e.g., an incorrect transaction) was included in a blockchain's proposed state. It works by allowing any network participant to challenge a state root posted by a proposer (like a rollup sequencer) by submitting a minimal proof of the specific computation step that was executed incorrectly. The underlying blockchain (Layer 1) acts as a judge, verifying this small proof to determine the validity of the entire batch, slashing the malicious proposer's bond if fraud is confirmed. This mechanism enables trust-minimized scaling by assuming transactions are valid (optimistic) and only running full verification in the rare case of a dispute.

FRAUD PROOF

Frequently Asked Questions

Fraud proofs are a core cryptographic mechanism enabling trust-minimized blockchain scaling. This FAQ addresses common questions about how they work, their role in rollups, and their security implications.

A fraud proof is a cryptographic challenge that allows a single honest participant to prove that an invalid state transition has been proposed on a blockchain, typically within a rollup or optimistic rollup system. It works by having a verifier (or challenger) detect a discrepancy in a posted state root, then submitting a succinct proof to the underlying Layer 1 (L1) chain, which adjudicates the dispute. The process involves:

  • State Commitment: The rollup operator posts a new state root to the L1.
  • Challenge Period: A window (e.g., 7 days) opens where anyone can challenge the commitment.
  • Proof Generation: A challenger submits a fraud proof, which is a minimal data packet pinpointing the exact step of execution that was incorrect.
  • Verification: The L1 contract verifies the proof's logic. If valid, it reverts the fraudulent state and slashes the operator's bond. This mechanism ensures security by relying on the existence of at least one honest actor watching the chain.
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