network-simulate

network-simulate

I need to run a network simulation scenario to test QuDAG's P2P networking, routing, and dark addressing features.

Simulation Parameters

**Scenario**: [Specify one of: basic_connectivity, partition, latency, byzantine, sybil_attack, routing_attack, dark_address_discovery, onion_routing, high_load, network_churn]

**Configuration**:

• Node count: [Default: 10, specify if different]
• Duration: [Default: 60 seconds, specify if different]
• Attack parameters (for adversarial scenarios):
  • Attacker ratio: [Fraction of malicious nodes, e.g., 0.3]
  • Attack intensity: [0-1 scale]
  • Target nodes: [Specific nodes to attack]
• Network conditions:
  • Base latency: [milliseconds, e.g., 50ms]
  • Packet loss rate: [0-1 scale, e.g., 0.01]
  • Partition probability: [For partition scenarios]

Scenario Descriptions

Basic Connectivity

Test fundamental P2P connectivity and message propagation. Verify that nodes can discover peers, establish connections, and route messages efficiently.

Dark Address Discovery

Validate the dark addressing system where nodes use cryptographic addresses for anonymity. Test address resolution, anonymity preservation, and lookup performance.

Onion Routing

Simulate multi-layer encrypted routing where messages traverse through multiple relay nodes. Measure routing overhead, anonymity set size, and circuit construction time.

Sybil Attack

Test network resilience against Sybil attacks where adversaries create multiple fake identities. Monitor consensus integrity and network fragmentation.

Routing Attack

Simulate routing manipulation attacks where malicious nodes attempt to intercept or redirect messages. Evaluate routing accuracy and path diversity.

Performance Targets

The simulation should validate:

• Throughput: 10,000+ messages/second across the network
• Latency (p99): < 1000ms for message delivery
• Memory usage: < 100MB per node
• Scalability: Linear performance with node count

Expected Metrics

Monitor and report:

1. Network Topology: P2P connections, dark addresses, routing diversity
2. Performance: Throughput, latency percentiles, delivery rate
3. Security: Anonymity set size, attack detection, resilience score
4. Resources: Memory, CPU, bandwidth usage per node

Analysis Focus

Based on the scenario, I should analyze:

• Connection stability and peer discovery efficiency
• Message propagation patterns and delivery guarantees
• Anonymity preservation in dark addressing and onion routing
• Network behavior under adversarial conditions
• Resource consumption and scalability limits

Please execute the network simulation in the QuDAG simulator and provide comprehensive results including topology analysis, performance metrics, security evaluation, and optimization recommendations.