SOC Critical Infrastructure Resilience App

See the Breaking Point Before It’s Too Late

Predict Risks

Prevent Failures

Protect Systems

Step 1: Select Critical Infrastructure Network

Critical infrastructure systems—such as power grids, finance, transport, and communications—are vulnerable to cascading disruptions when pressure builds at key nodes. This interface helps monitor stress buildup, detect weak points, and anticipate where failures may spread next.

What You Can Do: Select a system to track stress propagation, simulate disruption scenarios, and coordinate preventive measures before critical links collapse.

⚡ Power Grid Network

CRITICAL

Hierarchical power distribution network with major substations and generation facilities. High hub concentration makes this vulnerable to coordinated attacks targeting 3-5 critical nodes simultaneously.

Modeled Threats: Alpha Team, Beta Collective

85 Critical Nodes Cascade Risk: EXTREME

🏦 Financial Services Network

HIGH

Interconnected financial messaging and clearing systems with major banking institutions. Small-world topology creates potential for systemic financial cascade failures.

Modeled Threats: Gamma Syndicate, Delta Force

67 Major Institutions Cascade Risk: HIGH

🚛 Transportation & Logistics

HIGH

Major ports, rail hubs, and trucking networks essential for supply chain resilience. Geographic topology with coordinated attacks on key logistics nodes could trigger nationwide supply disruptions.

Modeled Threats: Epsilon Group, Zeta Alliance

52 Critical Hubs Cascade Risk: HIGH

📡 Communications Infrastructure

MEDIUM

Telecommunications backbone including Internet Exchange Points, data centers, and satellite networks. Scale-free topology is more resilient due to redundancy but vulnerable to targeted attacks.

Modeled Threats: Eta Collective, Theta Labs

73 Key Nodes Cascade Risk: MEDIUM

Step 2: Adversary Model and Attack Vector Configuration

Threat Modeling

Select adversary capabilities and attack vectors for academic research purposes. SOC parameters will be automatically configured to match hypothetical tactics, techniques, and procedures (TTPs).

Select Adversary Model

🤖 Alpha Team Collective

ADV-1

Advanced threat focused on long-term infrastructure mapping and multi-stage attacks. Known for sophisticated supply chain compromises and strategic patience.

Primary TTPs:

Social Engineering Supply Chain Persistence

SOC Parameters: β=0.95 (high redistribution), θ=0.85 (patient approach)

⚡ Beta Collective

ADV-2

Synthetic group known for destructive attacks on power grids and industrial systems. Demonstrated capability to cause physical damage through cyber means.

Primary TTPs:

ICS Malware Destructive Payloads Network Compromise

SOC Parameters: β=0.92 (aggressive spread), θ=0.75 (destructive intent)

💰 Gamma Syndicate

ADV-3

Synthetic financial-focused threat actor targeting banking and energy sectors. Known for strategic targeting aligned with economic disruption objectives.

Primary TTPs:

Watering Hole Custom Malware Credential Harvesting

SOC Parameters: β=0.88 (targeted spread), θ=0.80 (strategic patience)

🎯 Delta Force Labs

ADV-4

Synthetic research group focused on financial networks and cryptocurrency systems. Demonstrated capability for disruptive attacks as seen in academic case studies.

Primary TTPs:

Financial Attacks Data Wipers Social Engineering

SOC Parameters: β=0.90 (financial focus), θ=0.70 (disruptive capability)

Attack Scenario Configuration

Attack Timeline

Determines attack pattern and SOC simulation timing parameters

Initial Access Vector

Affects initial stress distribution and propagation patterns

Primary Objective

Influences cascade failure thresholds and propagation dynamics

Research Context

Affects adversary risk tolerance and attack intensity parameters

Advanced SOC Parameters (Auto-configured based on selections)

Stress Redistribution (β)

0.92

Auto-set based on adversary TTPs

Failure Threshold (θ)

0.75

Based on infrastructure resilience

Attack Intensity (Δs)

0.15

Calibrated to attack scenario

Simulation Horizon

72 hours

Critical response window

SOC Analysis in Progress

Analyzing cascade attack scenarios...

Initializing threat simulation...

Real-time Analysis

Establishing baseline network state...

Executive Summary

CRITICAL

Overall Risk Assessment

87%

Cascade Failure Probability

4.2h

Mean Time to Cascade

HIGH

Network Impact Level

Key Findings

Critical Nodes

Attack Pathways

Mitigation Strategies

Research Insights

Technical Analysis

High-Value Network Nodes

Infrastructure nodes that, if compromised, would trigger the most severe cascade failures.

SOC Critical Infrastructure Resilience App

Step 1: Select Critical Infrastructure Network

⚡ Power Grid Network

🏦 Financial Services Network

🚛 Transportation & Logistics

📡 Communications Infrastructure

Step 2: Adversary Model and Attack Vector Configuration

Threat Modeling

Select Adversary Model

🤖 Alpha Team Collective

⚡ Beta Collective

💰 Gamma Syndicate

🎯 Delta Force Labs

Attack Scenario Configuration

Advanced SOC Parameters (Auto-configured based on selections)

SOC Analysis in Progress

Real-time Analysis

Network Stress Visualization

Executive Summary

Key Findings

High-Value Network Nodes

Critical Interdependencies

Most Dangerous Attack Sequences

Initial Access Vectors

Recommended Hardening Measures

Detection Strategies

Research Requirements

Threat Indicators

SOC Model Parameters

Network Topology Analysis