Blockchain Analytics Framework

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Michael

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Data Model
  • Transaction Hash Architecture: stores transaction IDs, sender/receiver addresses, values, and timestamps
  • Block Metadata Structures: contains block numbers, hashes, timestamps, and transaction counts
  • Timestamp and Propagation Analysis: tracks transaction propagation and confirmation times
  • Wallet Interaction Graphs: models wallet relationships and transaction flows
  • Smart Contract Execution Traces: records contract calls, inputs, and outputs
  • Gas Consumption Behavior: monitors gas usage patterns and costs

Transaction Graph Modeling
  • Transaction Graph Architecture: represents transactions as a directed graph
  • Graph Analysis Algorithms: applies algorithms for graph traversal, centrality, and community detection
  • Transaction Flow Modeling: simulates transaction flows and predicts future transactions

Wallet Behavior Profiling
  • Wallet Behavior Models: categorizes wallets based on transaction patterns and behaviors
  • Address Clustering Algorithms: groups addresses by similarity and behavior
  • Attribution Models: assigns wallet ownership and activity levels

Smart Contract Interaction Analysis
  • Contract Call Graphs: visualizes contract interactions and call sequences
  • Contract Execution Traces: analyzes contract execution and input/output data
  • Contract Risk Assessment: evaluates contract risks and potential vulnerabilities

Cross-Chain Asset Movement
  • Cross-Chain Correlation: identifies asset movements between chains
  • Liquidity Flow Mapping: tracks asset flows and liquidity across chains
  • Exchange Deposit and Withdrawal Intelligence: monitors exchange activity and asset movements

DeFi Protocol Interaction
  • Protocol Interaction Classification: categorizes protocol interactions and behaviors
  • Token Distribution Analytics: analyzes token distributions and holders
  • Risk Scoring Methodologies: assigns risk scores to protocols and tokens

Network Anomaly Detection
  • Anomaly Detection Systems: identifies unusual network activity and behavior
  • Blockchain Visualization Architecture: visualizes network activity and anomalies
  • Network Monitoring Workflows: tracks network health and performance metrics

Investigative Workflows
  • Investigation Methodology Maps: outlines investigation procedures and workflows
  • Detection Logic: applies detection logic for anomalies and suspicious activity
  • Classification Systems: categorizes and prioritizes investigation results

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