@iota-big3/sdk-security
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Advanced security features including zero trust, quantum-safe crypto, and ML threat detection
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TypeScript
/**
* ML-Based Threat Detection
* Uses machine learning for advanced threat detection
*/
import { EventEmitter } from 'events';
export interface ThreatDetectorConfig {
modelPath?: string;
sensitivity: 'low' | 'medium' | 'high';
realtimeAnalysis: boolean;
anomalyThreshold: number;
}
export interface ThreatEvent {
id: string;
type: ThreatType;
severity: 'low' | 'medium' | 'high' | 'critical';
confidence: number;
source: string;
timestamp: Date;
indicators: string[];
recommendation: string;
}
export declare enum ThreatType {
SQL_INJECTION = "sql_injection",
XSS = "xss",
BRUTE_FORCE = "brute_force",
ANOMALOUS_BEHAVIOR = "anomalous_behavior",
DATA_EXFILTRATION = "data_exfiltration",
PRIVILEGE_ESCALATION = "privilege_escalation",
MALWARE = "malware",
DDoS = "ddos"
}
export declare class MLThreatDetector extends EventEmitter {
private model?;
private config;
private behaviorBaseline;
constructor(_config: ThreatDetectorConfig);
initialize(): Promise<void>;
/**
* Analyze request for threats
*/
analyzeRequest(request: {
method: string;
path: string;
headers: Record<string, string>;
body?: unknown;
ip: string;
userId?: string;
}): Promise<ThreatEvent[]>;
/**
* Extract features for ML model
*/
private extractFeatures;
/**
* ML prediction
*/
private predict;
/**
* Rule-based threat detection
*/
private runRuleBasedChecks;
/**
* Behavioral analysis using UEBA
*/
private analyzeBehavior;
/**
* Create default ML model
*/
private createDefaultModel;
/**
* Helper methods
*/
private createThreat;
private generateThreatId;
private encodeMethod;
private countSuspiciousPatterns;
private calculateEntropy;
private indexToThreatType;
private extractIndicators;
private calculateSeverity;
private getRecommendation;
private createBehaviorProfile;
}
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