Crate shadow_network_sim 

Network Simulation

Adversary modelling, censorship simulation, correlation attacks, and statistical traffic analysis:

• Adversary Models: Passive observer, active attacker, global observer, compromised relays
• Censorship Simulation: IP/port blocking, DPI, throttling, TCP reset
• Correlation Analysis: Timing & size correlation between traffic flows
• Statistical Analysis: Entropy, chi-squared, pattern detection, timing regularity

use shadow_network_sim::{CensorshipSimulator, CorrelationAnalyzer, StatisticalAnalyzer};
let censor = CensorshipSimulator::with_standard_rules();
let analyzer = CorrelationAnalyzer::new();
let stats = StatisticalAnalyzer::new();

Re-exports

pub use adversary::AdversaryCapabilities;

pub use adversary::AdversaryModel;

pub use adversary::AdversaryType;

pub use adversary::ObservedFlow;

pub use analysis::AnalysisResult;

pub use analysis::StatisticalAnalyzer;

pub use censorship::BlockingRule;

pub use censorship::CensorResult;

pub use censorship::CensorStats;

pub use censorship::CensorshipMethod;

pub use censorship::CensorshipSimulator;

pub use censorship::SimulatedPacket;

pub use correlation::CorrelationAnalyzer;

pub use correlation::CorrelationResult;

pub use correlation::FlowRecord;

Modules

adversary

Adversary models — define attacker capabilities and threat models.

analysis

Statistical analysis — entropy, chi-squared, and uniformity tests for traffic.

censorship

Censorship simulation — model how censors block, throttle, and detect traffic.

correlation

Traffic correlation analysis — detect relationships between flows.

Functions

verify_network_simulation

Verify the full network simulation system. Returns (adversary_ok, censorship_ok, correlation_ok, analysis_ok).