Critical-infrastructure-resilience-command-center: Critical Infrastructure Resilience Command Center — v0.1.0
Abstract
Critical Infrastructure Resilience Command Center — v0.1.0 Initial public release of a research-prototype command center that unifies Zero Trust posture, post-quantum cryptography (PQC) migration readiness, and AI-driven predictive maintenance into a single resilience-scoring platform for synthetic critical-energy digital twin assets. ✨ Highlights Executive dashboard — overall resilience, cyber risk, PQC readiness, asset health, and operational continuity scores at a glance Digital twin assets — synthetic pumps, compressors, turbines, generators, and substations with health, failure probability, RUL, and trust state Zero Trust module — device identity, authentication/authorization state, segmentation zone, and policy violation tracking PQC migration module — cryptographic algorithm inventory, quantum vulnerability, migration priority, and readiness scoring Predictive maintenance — AI health, anomaly score, RUL, and maintenance priority per asset Incident correlation — links synthetic cyber events, crypto exposure, and equipment degradation to operational impact Scenario simulator — run baseline, ransomware-style disruption, PQC urgency, bearing degradation, compressor overheating, sensor drift, and cascading cyber-physical events Explainability — every resilience decision includes reason codes and contributing dimensions 🔒 Safety This is a research prototype built entirely on synthetic data. It does not connect to PLCs/SCADA, issue control commands, or use proprietary operational data. 🚀 Run locally python -m venv .venv .venv\Scripts\Activate.ps1 # or source .venv/bin/activate on macOS/Linux pip install -r requirements.txt python -m pytest -q python run.pyCritical Infrastructure Resilience Command Center — v0.1.0 Initial public release of a research-prototype command center that unifies Zero Trust posture, post-quantum cryptography (PQC) migration readiness, and AI-driven predictive maintenance into a single resilience-scoring platform for synthetic critical-energy digital twin assets. ### ✨ Highlights - **Executive dashboard** — overall resilience, cyber risk, PQC readiness, asset health, and operational continuity scores at a glance - **Digital twin assets** — synthetic pumps, compressors, turbines, generators, and substations with health, failure probability, RUL, and trust state - **Zero Trust module** — device identity, authentication/authorization state, segmentation zone, and policy violation tracking - **PQC migration module** — cryptographic algorithm inventory, quantum vulnerability, migration priority, and readiness scoring - **Predictive maintenance** — AI health, anomaly score, RUL, and maintenance priority per asset - **Incident correlation** — links synthetic cyber events, crypto exposure, and equipment degradation to operational impact - **Scenario simulator** — run baseline, ransomware-style disruption, PQC urgency, bearing degradation, compressor overheating, sensor drift, and cascading cyber-physical events - **Explainability** — every resilience decision includes reason codes and contributing dimensions ### 🔒 Safety This is a research prototype built entirely on synthetic data. It does **not** connect to PLCs/SCADA, issue control commands, or use proprietary operational data. ### 🚀 Run locally ```bash python -m venv .venv .venv\Scripts\Activate.ps1 # or source .venv/bin/activate on macOS/Linux pip install -r requirements.txt python -m pytest -q python run.py
