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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:
| Node Type | Count | Examples |
|---|
| Undersea Cables | 86 | MAREA, FLAG Europe-Asia, SEA-ME-WE 6 |
| Pipelines | 88 | Nord Stream, Trans-Siberian, Keystone |
| Ports | 62 | Singapore, Rotterdam, Shenzhen |
| Chokepoints | 9 | Suez, Hormuz, Malacca, Gibraltar, Bosphorus, Dardanelles |
| Countries | 105 | End nodes representing national impact |
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%)
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
| Source | Coverage | Data Type |
|---|
| NGA Warnings | Global | NAVAREA maritime warnings |
| Cable Operators | Route-specific | Maintenance advisories |
How It Works
The system parses NGA (National Geospatial-Intelligence Agency) maritime warnings for cable-related activity:
- Keyword filtering: Warnings containing “CABLE”, “CABLESHIP”, “SUBMARINE CABLE”, “FIBER OPTIC” are extracted
- Coordinate parsing: DMS and decimal coordinates are extracted from warning text
- Cable matching: Coordinates are matched to nearest cable routes within 5° radius
- Severity classification: Keywords like “FAULT”, “BREAK”, “DAMAGE” indicate faults; others indicate maintenance
Alert Types
| Type | Trigger | Map Display |
|---|
| Cable Advisory | Any cable-related NAVAREA warning | Yellow marker at location |
| Repair Ship | Cableship name detected in warning | Ship icon with status |
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.