Problem: Utilities and communities want to optimize cross-domain energy systems (electricity, water pumping, heating) with strong security guarantees, verifiable data integrity, and auditable governance. Current open platforms focus on optimization b
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README.md

GridGuard: Secure, Attested Cross-Domain Energy Mesh Orchestrator (MVP)

GridGuard provides a security-first framework overlaying cross-domain optimization stacks (e.g., CatOpt/Open-EnergyMesh). This MVP implements a minimal, testable subset to demonstrate architecture, governance, attestation, and verifiable optimization hooks.

Whats included in this MVP:

  • Security Contracts Registry: versioned contracts describing data-exposure rules and attestation policies.
  • Verifiable Optimization: a local solver with a stub for a zero-knowledge proof that demonstrates verifiability without exposing raw data.
  • Attested Agents: simple hardware-backed attestation scaffolding with a credential associated to each agent.
  • Secure Transport: basic channel abstraction with key rotation stubs.
  • Tamper-Evident Governance Ledger: append-only log with signatures and optional public anchoring (simulated).
  • Delta-Sync: state reconciliation with proof checks.
  • Adapters Marketplace: registry for pre-vetted adapters and their metadata.
  • Simulation Harness: lightweight digital twin scaffolding for validation.

Project Structure (Python):

  • src/gridguard_secure_attested_cross_domain_e/
    • contracts.py
    • optimization.py
    • attestation.py
    • transport.py
    • governance.py
    • marketplace.py
    • simulation.py
    • init.py

Tests: tests/test_basic.py

How to run tests: bash test.sh

This README also serves as a marketing and onboarding document to explain the architecture and how to contribute.