Plan for [Stretch] Network Attack Simulation (#57) #929
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@Fatumayattani : Wonderful initiative. Appreciate your efforts. CCing @acul71 , @yashksaini-coder, @lla-dane, @sumanjeet0012 and @bomanaps for their thoughts and feedback. We will arrive at a design implementation plan for this very important effort. |
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@seetadev |
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Network Attack Simulation - Response to Discussion #929ContextThis document provides a comprehensive response to the GitHub discussion #929 titled "Plan for [Stretch] Network Attack Simulation (#57)" in the py-libp2p repository. Original Discussion SummaryAuthor: @Fatumayattani Proposed Plan
Questions for Feedback
Comprehensive Response1. PR Scope Recommendation: Eclipse FirstRecommendation: Start with Eclipse attack simulation only for the following reasons: Advantages of Focused Approach:
Implementation Strategy:# Suggested project structure
tests/security/attack_simulation/
├── eclipse_attack/
│ ├── test_eclipse_simulation.py # Main test suite
│ ├── malicious_peer.py # Malicious peer implementation
│ ├── metrics_collector.py # Attack metrics collection
│ ├── attack_scenarios.py # Different attack scenarios
│ └── network_builder.py # Test network construction
├── utils/
│ ├── attack_metrics.py # Metrics calculation utilities
│ ├── peer_behavior_simulator.py # Peer behavior simulation
│ └── network_monitor.py # Network state monitoring
├── config/
│ ├── attack_configs.py # Attack configuration options
│ └── network_topologies.py # Predefined network topologies
└── README.md # Documentation and usage guide2. Repository Location: Local in py-libp2p InitiallyRecommendation: Keep the work local in py-libp2p initially, with a migration path to libp2p/interop. Benefits of Local Development:
Migration Strategy:
3. Enhanced Implementation PlanCore Components:A. Malicious Peer Implementation: class MaliciousPeer:
"""Simulates malicious behavior for attack testing"""
def __init__(self, attack_type: str, intensity: float):
self.attack_type = attack_type # "eclipse", "sybil", etc.
self.intensity = intensity # Attack strength (0.0-1.0)
self.poisoned_entries = {}
async def poison_dht_entries(self, target_peer_id: str):
"""Poison DHT with fake entries for target peer"""
pass
async def flood_peer_table(self, victim_peer):
"""Flood victim's peer table with malicious entries"""
passB. Metrics Collection System: class AttackMetrics:
"""Comprehensive metrics collection for attack analysis"""
def __init__(self):
self.lookup_success_rate = []
self.peer_table_contamination = []
self.network_connectivity = []
self.recovery_time = None
def measure_lookup_failures(self, before: float, during: float, after: float):
"""Track lookup success rates across attack phases"""
pass
def calculate_peer_table_pollution(self, honest_peers: list):
"""Measure percentage of malicious entries in peer tables"""
passC. Network Builder: class AttackNetworkBuilder:
"""Builds test networks with configurable attack scenarios"""
async def create_eclipse_test_network(self,
honest_nodes: int = 10,
malicious_nodes: int = 3,
topology: str = "random"):
"""Create network for Eclipse attack testing"""
pass
async def setup_attack_scenario(self, scenario_config: dict):
"""Configure specific attack scenario"""
passKey Metrics to Track:
4. Integration with Existing InfrastructureLeverage Current Capabilities:
Example Integration:# Building on existing test infrastructure
from tests.utils.factories import HostFactory
from libp2p.pubsub.gossipsub import GossipSub
class EclipseAttackTest:
async def setup_test_network(self):
# Use existing HostFactory
async with HostFactory.create_batch_and_listen(
self.honest_node_count,
security_protocol="noise"
) as honest_hosts:
# Add malicious hosts
malicious_hosts = await self.create_malicious_hosts()
return honest_hosts, malicious_hosts5. Documentation and Analysis FrameworkRequired Documentation:
Analysis Framework:class AttackAnalysis:
"""Framework for analyzing attack simulation results"""
def generate_attack_report(self, metrics: AttackMetrics) -> dict:
"""Generate comprehensive attack analysis report"""
return {
"attack_effectiveness": self.calculate_effectiveness(metrics),
"vulnerability_assessment": self.assess_vulnerabilities(metrics),
"mitigation_recommendations": self.suggest_mitigations(metrics),
"network_resilience_score": self.calculate_resilience(metrics)
}6. Long-term Vision and RoadmapPhase 1: Eclipse Attack Simulation (Current Focus)
Phase 2: Extended Attack Suite
Phase 3: Cross-Implementation Testing
7. Success CriteriaTechnical Success:
Security Impact:
8. Community BenefitsThis initiative will provide:
ConclusionThe proposed network attack simulation framework represents a significant step forward in py-libp2p's security capabilities. Starting with Eclipse attack simulation provides a focused, achievable goal that will establish the foundation for comprehensive security testing. The recommended approach of local development with future migration to libp2p/interop balances immediate development needs with long-term ecosystem benefits. This initiative will not only strengthen py-libp2p but also contribute valuable security insights to the broader libp2p community. Next Steps:
This work aligns perfectly with the original issue #57 and will significantly enhance the security and resilience of py-libp2p implementations. |
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@acul71 For next steps, I’ll begin working on I’ll aim to open a first PR that reflects this narrowed scope together with initial documentation, and we can iterate from there. Thanks again for the comprehensive guidance, I’m excited to collaborate on bringing this to life. |
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go for it! |
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so once the initial PR is up, we can proceed to work on that. |
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Are getting an invite to work on the same branch or no? |
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@yashksaini-coder @bomanaps I’m actively working on the initial setup, and I’ll have the first PR up tomorrow. Looking forward to collaborating with you both on it 🙏 |
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Great then I will reconnect tomorrow or later once PR is up. 👍🏼 |
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Hi all, The first PR for the Network Attack Simulation module is now live: [PR #950]. It implements the initial Eclipse attack simulation and sets up the foundational framework for network attack testing in py-libp2p, including:
All tests pass locally (6/6), confirming network setup, malicious peer behavior, and metrics collection. Next steps / contributors can focus on: @yashksaini-coder @bomanaps
@seetadev @acul71 Your continued guidance and feedback are much appreciated as we iterate. Looking forward to collaborating on refining and expanding this work! 🙏 |
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Greetings everyone, I've conducted some more eclipse attack simulations with different config values, and created a Result Post. #960 Providing more better result analysis, as per @acul71 suggestions. |
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Hi all,
Following up on Issue #57, here’s a proposed plan for the network attack simulation work.
Initial Focus
Start with an Eclipse attack by poisoning the DHT. The idea is to:
Questions for Feedback
libp2p/interop, or kept local in py-libp2p for now?Looking forward to thoughts and guidance.
cc @seetadev
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