Module anomaly 

Anomaly detection module for identifying suspicious behavior and fraud.

This module provides statistical anomaly detection to identify unusual patterns in bandwidth proofs, peer behavior, and network activity. It uses multiple detection strategies including z-score analysis, rate-based detection, and pattern matching.

Example

use chie_core::{AnomalyDetector, DetectionConfig, BehaviorSample};

let config = DetectionConfig::default();
let mut detector = AnomalyDetector::new(config);

// Record normal behavior
for i in 0..100 {
    detector.record_sample("peer1", BehaviorSample {
        value: 100.0 + (i as f64 % 10.0),
        timestamp: std::time::SystemTime::now(),
        metric_type: "bandwidth".to_string(),
    });
}

// Check for anomaly
let sample = BehaviorSample {
    value: 500.0, // Unusual spike
    timestamp: std::time::SystemTime::now(),
    metric_type: "bandwidth".to_string(),
};

if detector.is_anomalous("peer1", &sample) {
    println!("Anomaly detected!");
}

Structs

Anomaly

Detected anomaly information.

AnomalyDetector

Anomaly detector for identifying suspicious behavior.

AnomalyStats

Anomaly detection statistics.

BehaviorSample

Sample of peer behavior for analysis.

DetectionConfig

Configuration for anomaly detection.

Enums

AnomalyType

Anomaly type classification.