Menu_Sidebar

• Setting up SPADE
  • Requirements
  • Downloading and compiling
  • Starting and controlling SPADE
• Storing provenance
  • Storing provenance in a graph database
  • Storing provenance in a relational database
  • Creating Graphviz output
  • Creating Prov output
  • Creating JSON output
• Collecting provenance
  • Across the operating system
    • On Linux (with Audit)
    • On Linux (with CamFlow)
    • On macOS
    • On Windows
    • On Android
  • Limiting collection to a part of the filesystem
    • On Linux
    • On macOS
  • From an external application
    • In a DSL
    • In Graphviz
    • In JSON
  • With compile-time instrumentation
  • Using the reporting API
  • Of transactions in the Bitcoin blockchain
  • Filtering provenance
    • Using filters
    • Available filters
• Viewing provenance
  • In a graph database
  • In a relational database
• Querying SPADE
  • Illustrative example
  • Transforming query responses
    • Using transformers
    • Available transformers
  • Protecting query responses
    • Using sanitization
    • Using attribute-based encryption
    • Using differential privacy
• Miscellaneous
  • External Dependencies
  • ProvBench Traces
  • Transparent Computing
  • Packaging Instructions
  • Interaction
  • Provenance‐based Anomaly Detection using Deep Learning