4.Safety Mechanism

4.1 Wallet Security

Multi-Signature Technology:

  • Multi-Party Signature Verification: Adopts an M-of-N multi-signature model requiring multiple independent signatures for transaction authorization, ensuring the reliability of private key management. This is particularly suitable for institutional accounts or high-value asset management scenarios.

  • Distributed Key Management: Implements distributed key generation (DKG) using multi-party computation (MPC) technology to eliminate single points of failure and further reduce the risk of private key leakage.

  • Dynamic Signature Strategy: Supports user-defined signature rules, such as adjustable signature thresholds (M threshold adjustments), to adapt to different risk management requirements.

Hot and Cold Wallet Separation:

  • Real-Time Transaction Protection: Hot wallets limit access through isolation modules, combining quota management and behavior monitoring systems to instantly block abnormal transactions.

  • Cold Wallet Multi-Layer Encryption: Assets stored in cold wallets are secured using hardware security modules (HSM) and enhanced with layered encryption algorithms (e.g., AES-256) to improve physical protection.

  • Dynamic and Static Asset Separation: Implements a separation mechanism for dynamic asset transfer and static storage, with automated scripts periodically transferring remaining hot wallet funds to cold storage.

Decentralized Key Storage:

  • Key Sharding and Reconstruction: Uses Shamir’s secret sharing algorithm to shard keys across multiple nodes. Reconstruction of the keys is only permitted under authorized conditions.

  • Dual-Layer Security Authentication: Users must pass multi-factor authentication (MFA) and biometric verification to access key shards, ensuring the legitimacy of the key retrieval process.


4.2 Defense System

DDoS Protection:

  • Distributed Traffic Mitigation Network: Constructs a multi-layer node traffic scrubbing system and distributed edge protection network to dynamically identify and filter abnormal traffic.

  • Whitelist and Blacklist Policies: Combines IP reputation databases with real-time threat intelligence to automatically update and enforce DDoS protection rules.

  • Zero-Trust Model: Employs incremental verification for all access requests to prevent unauthorized traffic from potentially disrupting the system.

Intrusion Detection and Response:

  • AI-Based Behavioral Anomaly Detection: Utilizes deep learning models (e.g., RNN and LSTM) to analyze user behavior patterns and swiftly identify potential threats.

  • Real-Time Event Processing Framework: Implements event-driven architecture (EDA) to ensure immediate triggering of emergency response mechanisms during intrusion attempts.

  • Security Posture Visualization: Provides an interactive security dashboard to monitor real-time threats across the system, enabling rapid attack traceability and recovery.

Contract Vulnerability Scanning:

  • Comprehensive Code Analysis Toolchain: Integrates multiple smart contract auditing tools (e.g., Slither, MythX, and Securify) to conduct multi-perspective, in-depth vulnerability detection.

  • Automated Remediation Suggestions: Offers actionable remediation suggestions and code optimization guidance to help developers address vulnerabilities quickly.

  • Runtime Protection: Introduces sandbox execution environments for contracts, monitoring runtime behavior to prevent misuse of deployed contracts.


4.3 Disaster Recovery

Multi-Layer Backup Plan:

  • Redundant Data Storage: Implements distributed file systems (e.g., Ceph and IPFS) to ensure multi-copy storage across regions, enabling data recovery from any node failure.

  • Full-Chain Data Synchronization: Uses blockchain-native snapshot technology to record the full state of on-chain data, supporting rollbacks to multiple time points.

  • Incremental and Differential Backups: Leverages incremental and differential backup techniques to reduce storage usage while ensuring optimal recovery times.

High Availability Architecture:

  • Multi-Node Disaster Recovery System: Deploys nodes across multiple regions with load-balancing algorithms to maintain service availability even in the event of single-node failure.

  • Automated Fault Switching: Designs automatic failover mechanisms between distributed nodes using Raft or PBFT consensus algorithms, ensuring consistency and rapid recovery.

  • Disaster Recovery Drills: Conducts periodic disaster recovery drills, including simulated node failures and global network outages, to validate the system’s resilience.

Function Explanation:

  1. Tool Selection: This script uses Mythril as a Solidity contract vulnerability scanning tool.

  2. Security Detection: Mythril can detect common vulnerabilities such as reentrancy attacks, integer overflows, and uninitialized storage pointers.

  3. Automated Scanning: The script uses subprocess to execute Mythril's static analysis command-line tool.

  4. Result Format: The scan results are returned in JSON format, allowing for further parsing and processing.

  5. Save your smart contract code as a .sol file, for example, your_smart_contract.sol.

  6. Update the contract_file_path variable in the script to point to your contract file path.

  7. Run the script to view the vulnerability scan results.

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