# 3️⃣ Fraud Proof Design

The fraud proof system in Axonum is built on a core principle of separating the fraud proof processes between Geth and opML. This design ensures a robust and efficient fraud proof mechanism. Here's a breakdown of the fraud proof system and our separation design:

1. **Fraud Proof System Overview:**
   * The fraud proof system is a critical component that guarantees the security and integrity of transactions on the Axonum optimistic rollup Layer 2.
   * It involves the verification of transactions and computations to ensure that any malicious behavior or inaccuracies are detected and addressed.
2. **Separation of Fraud Proof Processes:**
   * **Geth Fraud Proof Process:**
     * Geth, responsible for the Ethereum client on layer 2, handles the initial stages of fraud proof related to transaction validation and basic protocol adherence.
     * It verifies the correctness of transactions and ensures that they comply with the rules and protocol of the layer 2 system.
   * **opML Fraud Proof Process:**
     * opML, the Optimistic Machine Learning system integrated with Axonum, takes charge of the more intricate aspects of fraud proof related to machine learning model execution.
     * It verifies the correctness of machine learning computations and ensures the integrity of AI-related processes within the layer 2 framework.
3. **Benefits of Separation Design:**
   * **Enhanced Efficiency:**
     * By distributing the fraud proof responsibilities, we optimize the efficiency of the overall system. Geth focuses on transactional aspects, while opML handles ML-specific fraud proofs.
   * **Scalability:**
     * The separation design allows for scalability, enabling each component to independently scale based on its specific processing requirements.
   * **Flexibility:**
     * This separation provides flexibility for upgrades and improvements in either the Geth or opML components without compromising the entire fraud proof system.