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Glossary

Fraud Proof

A fraud proof is a cryptographic proof submitted by a network participant to demonstrate that an invalid transaction or state transition has occurred within a system like an optimistic rollup or bridge.
Chainscore © 2026
definition
OPTIMISTIC ROLLUP MECHANISM

What is a Fraud Proof?

A fraud proof is a cryptographic challenge mechanism used in optimistic rollups to detect and invalidate invalid state transitions, ensuring the security of off-chain computation.

A fraud proof is a cryptographic challenge mechanism used in optimistic rollups to detect and invalidate invalid state transitions posted to a parent blockchain, such as Ethereum. The system operates on an "innocent until proven guilty" principle: state updates are assumed valid unless a network participant, known as a verifier, submits a fraud proof within a predefined challenge period (typically 7 days). This allows for high-throughput, low-cost transactions off-chain while still inheriting the base layer's security, as only a single honest verifier is needed to keep the system secure.

The technical process involves a verifier monitoring the rollup's state roots posted on the main chain. Upon detecting a discrepancy—such as an invalid transaction or an incorrect Merkle root—the verifier constructs a fraud proof. This proof is a succinct cryptographic argument that demonstrates, to the base layer's smart contract, the precise step where the rollup's state transition function was violated. The contract then executes a fraud proof verification function, which replays a minimal amount of data on-chain to conclusively determine the fault, leading to the slashing of the malicious operator's bond and a rollback of the fraudulent state.

Fraud proofs are contrasted with validity proofs (used in ZK-rollups), which require cryptographic proof of correctness for every batch. The trade-off is latency versus computational overhead. While fraud proofs enable faster and more general-purpose computation off-chain, they introduce a mandatory withdrawal delay due to the challenge window. Key implementations include Arbitrum Nitro and the earlier version of Optimism (which has since migrated to a multi-proof system). The security model fundamentally relies on crypto-economic incentives and the presence of at least one honest, watchful participant in the network.

how-it-works
OPTIMISTIC ROLLUP MECHANISM

How Does a Fraud Proof Work?

A fraud proof is a cryptographic challenge-response mechanism used in Optimistic Rollups to detect and reject invalid state transitions, ensuring the security of off-chain computation.

A fraud proof is a dispute resolution protocol that allows a single honest participant to prove that a proposed state transition posted to a base layer blockchain (like Ethereum) is invalid. The system operates on an optimistic assumption: all state transitions are presumed valid unless proven otherwise. When a sequencer posts a new state root to the main chain, it enters a challenge window (typically 7 days), during which any verifier can submit cryptographic proof demonstrating fraud. This mechanism is the core security guarantee that allows Optimistic Rollups to scale by executing transactions off-chain while inheriting the base layer's security.

The technical process begins when a verifier detects a fraudulent state root. To construct a fraud proof, the verifier must pinpoint the exact step in the transaction batch where the fraud occurred. This involves providing the specific pre-state, the transaction data, and the post-state for the disputed step, along with cryptographic Merkle proofs that link this data to the state roots on-chain. The fraud proof smart contract on the main chain then re-executes this single step of computation. If the contract's execution result differs from the sequencer's claimed result, the fraud is verified, the invalid state root is reverted, and the malicious sequencer's bond is slashed as a penalty.

Implementing fraud proofs requires careful design to keep on-chain verification costs low. Modern systems like Arbitrum use multi-round interactive fraud proofs, which break the dispute into a binary search game, requiring only a few rounds of on-chain interaction to isolate the point of contention. In contrast, early designs required verifying the entire disputed computation on-chain. The security model relies on the presence of at least one honest verifier with access to full node data who is actively monitoring the chain. This "1-of-N" honesty assumption makes the system secure as long as a single participant is motivated to submit a proof, often incentivized by a portion of the slashed bond.

key-features
OPTIMISTIC ROLLUP MECHANISM

Key Features of Fraud Proofs

Fraud proofs are a security mechanism used in optimistic rollups to enforce correct state transitions by allowing any participant to challenge and prove invalid transactions during a dispute window.

01

Dispute Window (Challenge Period)

A mandatory waiting period, typically 7 days, during which newly published state roots are considered pending. This window allows any verifier to scrutinize the proposed state transition and submit a fraud proof if they detect invalid transactions. No funds can be withdrawn until this period expires without a successful challenge.

02

Interactive Fraud Proof Game

A multi-round, on-chain dispute resolution protocol initiated when a state root is challenged. The challenger and the sequencer engage in a bisection game, recursively narrowing down their disagreement to a single instruction. This minimizes the on-chain computation required to adjudicate the fraud, making the process gas-efficient.

03

State Commitment & Merkle Proofs

The integrity of the rollup's state is anchored by a Merkle root published to the L1. To prove fraud, a challenger must provide a Merkle proof demonstrating the exact pre-state, transaction data, and post-state for the disputed step. This cryptographic proof allows the L1 contract to verify the invalid execution independently.

04

Economic Security & Bonding

Sequencers must post a substantial bond (in ETH or the rollup's native token) to propose state roots. A successful fraud proof results in the slashing of this bond, which is awarded to the challenger. This cryptoeconomic incentive aligns honesty with profit, making fraudulent behavior costly.

05

Single Round vs. Multi-Round Proofs

  • Single-Round (Non-Interactive): Requires the challenger to submit the entire proof of fraud in one transaction. Simpler but more gas-intensive for complex fraud.
  • Multi-Round (Interactive): Uses the bisection game described above. More complex to implement but drastically reduces on-chain gas costs for verification.
06

Data Availability Requirement

For fraud proofs to be possible, the transaction data for the disputed batch must be available on the base layer (L1). If data is withheld (data availability problem), verifiers cannot reconstruct the state to create a proof, breaking the system's security model. This is a core challenge that validity proofs (ZK-rollups) do not face.

ecosystem-usage
IMPLEMENTATIONS

Where Are Fraud Proofs Used?

Fraud proofs are a core mechanism for scaling blockchains securely. They are primarily implemented in optimistic rollups and other layer 2 solutions to enable trust-minimized, off-chain execution.

04

Optimistic Sidechains

Some independent sidechains adopt an optimistic security model. They operate with their own validator set but use a bridge contract on the main chain that enforces a challenge period for withdrawals. During this period, fraud proofs can be submitted to dispute invalid state roots posted by the sidechain validators. This provides a stronger security guarantee than purely trusted bridges.

06

The Future: zkEVM & Hybrid Models

Emerging architectures explore combining zero-knowledge proofs (ZKPs) and fraud proofs. A zkEVM might use a fallback to fraud proofs mechanism during its early stages for complex operations that are difficult to prove with ZKPs. Alternatively, hybrid rollups could use ZKPs for fast finality of correct state transitions and fraud proofs as a censorship-resistant backup challenge mechanism.

SCALING MECHANISM COMPARISON

Fraud Proofs vs. Validity Proofs

A comparison of the two primary cryptographic methods for verifying off-chain transaction execution in blockchain scaling solutions.

FeatureFraud Proofs (Optimistic Rollups)Validity Proofs (ZK-Rollups)

Core Mechanism

Challenge-response after execution

Cryptographic proof before execution

Trust Assumption

Requires at least one honest verifier

Trustless; relies on cryptography

Withdrawal Delay

7-day challenge period typical

Near-instant (proof generation time only)

On-Chain Data Requirement

Full transaction data (calldata)

Only validity proof & state delta

Computational Overhead

Low for posting, high only if challenged

Consistently high (proof generation)

Privacy Potential

Transactions are public

Can enable transaction privacy

EVM Compatibility

Full equivalence (Optimistic EVM)

Complex; requires specialized VMs (zkEVM)

Primary Example

Arbitrum, Optimism

zkSync Era, Starknet, Scroll

security-considerations
FRAUD PROOF

Security Considerations & Limitations

Fraud proofs are cryptographic mechanisms that allow a single honest participant to prove a state transition was invalid, enabling secure scaling. Their design and implementation define the security model of optimistic rollups and other systems.

01

Core Security Assumption: Honest Minority

Fraud-proof systems rely on the Honest Minority Assumption: at least one honest, vigilant node must be online to detect and submit a proof of fraud within a predefined challenge period (typically 7 days). If no honest actor is watching, an invalid state can become final. This creates a liveness requirement distinct from the Nakamoto Consensus of underlying blockchains.

02

Data Availability Problem

A fraud proof is only possible if the data needed to reconstruct the disputed state is available. The Data Availability Problem asks: how can verifiers be sure all transaction data has been published? Solutions include Data Availability Sampling (DAS) and Data Availability Committees (DACs). Without guaranteed data availability, fraud proofs cannot be constructed, breaking the security model.

03

Implementation Complexity & Attack Vectors

Building a fraud-proof system is highly complex. Key attack vectors include:

  • Implementation Bugs: Flaws in the fraud-proof verification logic or state transition function.
  • Gas Limit Attacks: Crafting disputes that exceed the gas limit of the L1 verification contract.
  • Timing Attacks: Manipulating transaction ordering to delay proof submission past the challenge window.
  • Proof Size: Ensuring the proof itself is small enough to be posted on-chain.
04

Economic & Game-Theoretic Limitations

Security depends on economic incentives. Key limitations include:

  • Bond Requirements: Challengers must post a bond, which can be costly and subject to slash if wrong.
  • Profitability of Watching: The reward for submitting a fraud proof must outweigh costs (gas, effort), or watching becomes a public good problem.
  • Cartel Formation: A malicious sequencer could potentially bribe or threaten potential challengers.
05

Withdrawal Risks & Challenge Period

The challenge period (e.g., 7 days) is a fundamental security parameter that directly impacts user experience. During this window:

  • Funds are locked: Users cannot withdraw assets without delay.
  • Fast withdrawals require third-party liquidity providers, introducing counterparty risk.
  • A shorter period increases security risk; a longer period harms UX. This is a core trade-off in optimistic rollup design.
06

Contrast with Validity Proofs

Fraud proofs are optimistic (assume correctness, prove exceptions), while Validity Proofs (like ZK-SNARKs) are pessimistic (require proof for every state transition). Key security differences:

  • Finality: Validity proofs offer near-instant finality; fraud proofs have a delay.
  • Assumptions: Fraud proofs need at least one honest actor; validity proofs need only cryptographic assumptions.
  • Computational Overhead: Validity proofs have high prover cost; fraud proofs shift cost to challengers.
DEBUNKING MYTHS

Common Misconceptions About Fraud Proofs

Fraud proofs are a critical security mechanism in optimistic rollups, but their function is often misunderstood. This section clarifies prevalent technical misconceptions.

A fraud proof is a cryptographic challenge that allows a verifier to prove a state transition executed on a Layer 2 (L2) chain, like an optimistic rollup, is invalid. It works by having a single honest actor (the challenger) detect a fraudulent transaction in a proposed state root, then submitting a succinct proof to the Layer 1 (L1) blockchain. The L1 contract verifies this proof, which typically involves re-executing a small, disputed portion of the L2 transaction batch, and if valid, it slashes the bond of the malicious sequencer and reverts the incorrect state.

Key steps:

  1. A sequencer posts a batch of transactions and a new state root to L1.
  2. A challenger monitors and detects an invalid state transition.
  3. The challenger posts a fraud proof, containing the minimal data needed (e.g., specific transaction inputs and pre-state) to L1.
  4. The L1 contract verifies the proof by re-executing the disputed computation.
  5. If fraud is proven, the sequencer's bond is slashed and the state is rolled back.
FRAUD PROOFS

Technical Deep Dive

Fraud proofs are a core cryptographic mechanism enabling trust-minimized scaling. They allow a single honest participant to challenge and correct invalid state transitions, securing optimistic rollups and other Layer 2 solutions.

A fraud proof is a cryptographic proof submitted to a blockchain to demonstrate that a proposed state transition is invalid. It works by allowing any network participant (a verifier) to challenge the output of an optimistic rollup during a predefined dispute window. The challenger submits a compact proof pointing to the specific, fraudulent step in the transaction batch. The underlying Layer 1 (L1) blockchain, like Ethereum, then executes a single-step verification or a bisection game to adjudicate the dispute, slashing the bond of the malicious party and reverting the incorrect state.

Key Mechanism:

  • State Commitment: The rollup operator posts a new state root to L1.
  • Challenge Period: A 7-day window (typical) opens for verification.
  • Proof Submission: A verifier detects fraud and submits a fraud proof.
  • On-Chain Verification: The L1 contract verifies the proof's minimal computation.
  • State Correction: If valid, the fraudulent state root is reverted.
FRAUD PROOF

Frequently Asked Questions (FAQ)

Fraud proofs are a core mechanism in optimistic rollups and other Layer 2 scaling solutions, enabling trust-minimized security by allowing anyone to challenge invalid state transitions. These FAQs cover their function, implementation, and real-world examples.

A fraud proof is a cryptographic challenge mechanism that allows a network participant to prove that an invalid state transition (e.g., an incorrect transaction) has been posted to a blockchain. It works on a challenge-response model: after a new state root is published, there is a dispute period (often 7 days) during which any honest verifier can compute the correct state locally and, if a discrepancy is found, submit a fraud proof. This proof contains the minimal data needed for the parent chain (like Ethereum) to independently verify the fraud, typically by re-executing a specific transaction or a small segment of the chain's computation. If valid, the fraudulent state update is reverted, and the malicious party's staked bond is slashed.

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