Infrastructure Cascade Analysis

Critical infrastructure is interdependent. A cable cut doesn't just affect connectivity; it creates cascading effects across dependent countries and systems. The cascade analysis and cable monitoring systems visualize these dependencies and provide early warning of disruptions.

Dependency Graph

The system builds a graph of 350 infrastructure nodes and dependency edges:

Cascade Calculation

When a user selects an infrastructure asset for analysis, a breadth-first cascade propagates through the graph:

1. Start at source node (e.g., "cable:marea")
2. For each dependent node:
   impact = edge_strength × disruption_level × (1 - redundancy)
3. Categorize impact:
   - Critical: impact > 0.8
   - High: impact > 0.5
   - Medium: impact > 0.2
   - Low: impact ≤ 0.2
4. Recurse to depth 3 (prevent infinite loops)

Redundancy Modeling

The system accounts for alternative routes:

• Cables with high redundancy show reduced impact
• Countries with multiple cable landings show lower vulnerability
• Alternative routes are displayed with capacity percentages

Example Analysis

MAREA Cable Disruption:

Source: MAREA (US ↔ Spain, 200 Tbps)
Countries Affected: 4
- Spain: Medium (redundancy via other Atlantic cables)
- Portugal: Low (secondary landing)
- France: Low (alternative routes via UK)
- US: Low (high redundancy)
Alternative Routes: TAT-14 (35%), Hibernia (22%), AEConnect (18%)

FLAG Europe-Asia Disruption:

Source: FLAG Europe-Asia (UK ↔ Japan)
Countries Affected: 7
- India: Medium (major capacity share)
- UAE, Saudi Arabia: Medium (limited alternatives)
- UK, Japan: Low (high redundancy)
Alternative Routes: SEA-ME-WE 6 (11%), 2Africa (8%), Falcon (8%)

Use Cases

• Pre-positioning: Understand which countries are most vulnerable to specific infrastructure failures
• Risk Assessment: Evaluate supply chain exposure to chokepoint disruptions
• Incident Response: Quickly identify downstream effects of reported cable cuts or pipeline damage

Undersea Cable Activity Monitoring

The dashboard monitors real-time cable operations and advisories from official maritime warning systems, providing early warning of potential connectivity disruptions.

Data Sources

How It Works

The system parses NGA (National Geospatial-Intelligence Agency) maritime warnings for cable-related activity:

1. Keyword filtering: Warnings containing "CABLE", "CABLESHIP", "SUBMARINE CABLE", "FIBER OPTIC" are extracted
2. Coordinate parsing: DMS and decimal coordinates are extracted from warning text
3. Cable matching: Coordinates are matched to nearest cable routes within 5° radius
4. Severity classification: Keywords like "FAULT", "BREAK", "DAMAGE" indicate faults; others indicate maintenance

Alert Types

Repair Ship Tracking

When a cableship is mentioned in warnings, the system extracts:

• Vessel name: CS Reliance, Cable Innovator, etc.
• Status: "En route" or "On station"
• Location: Current working area
• Associated cable: Nearest cable route

This enables monitoring of ongoing repair operations before official carrier announcements.

Why This Matters

Undersea cables carry 95% of intercontinental data traffic. A cable cut can:

• Cause regional internet outages
• Disrupt financial transactions
• Impact military communications
• Create economic cascading effects

Early visibility into cable operations, even maintenance windows, provides advance warning for contingency planning.