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Backend IDS Integration — Intrusion Detection for Backend Systems

DodaTech Updated 2026-06-28 1 min read

In this tutorial, you'll learn about Backend Ids Integration. We cover key concepts, practical examples, and best practices to help you understand and apply this topic effectively.

Intrusion detection systems monitor backend traffic and behavior for signs of malicious activity.

// Host-based intrusion detection
class HostIDS {
  constructor() {
    this.baselines = new Map();
    this.anomalyThreshold = 3;  // Standard deviations
  }

  async establishBaseline() {
    // CPU, memory, network, file access patterns
    this.baselines.set('cpu', await this.sampleMetric('cpu'));
    this.baselines.set('memory', await this.sampleMetric('memory'));
    this.baselines.set('fileAccess', await this.sampleMetric('fileAccess'));
    this.baselines.set('networkConnections', await this.sampleMetric('networkConnections'));
  }

  async sampleMetric(metric) {
    const samples = [];
    for (let i = 0; i < 10; i++) {
      samples.push(await this.getMetric(metric));
      await delay(1000);
    }
    const mean = samples.reduce((a, b) => a + b, 0) / samples.length;
    const variance = samples.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / samples.length;
    return { mean, stdDev: Math.sqrt(variance) };
  }

  async checkAnomalies() {
    const anomalies = [];

    for (const [metric, baseline] of this.baselines) {
      const current = await this.getMetric(metric);
      const deviation = Math.abs(current - baseline.mean) / baseline.stdDev;

      if (deviation > this.anomalyThreshold) {
        anomalies.push({
          metric,
          current,
          expected: baseline.mean,
          deviation: deviation.toFixed(2),
          timestamp: new Date().toISOString()
        });
      }
    }

    return anomalies;
  }

  async getMetric(metric) {
    switch (metric) {
      case 'cpu': return os.loadavg()[0];
      case 'memory': return process.memoryUsage().heapUsed / 1024 / 1024;
      case 'networkConnections': {
        // Count active connections
        const connections = await exec('ss -tun | tail -n +2 | wc -l');
        return parseInt(connections.stdout);
      }
      default: return 0;
    }
  }
}

// Network-based IDS integration
app.use(async (req, res, next) => {
  // Check against known threat intel
  const ipReputation = await threatIntel.checkIP(req.ip);
  if (ipReputation.malicious) {
    logger.warn('Known malicious IP detected', { ip: req.ip, threat: ipReputation });
    return res.status(403).json({ error: 'Access denied' });
  }

  // Rate anomaly detection
  const requestRate = await rateTracker.getRate(req.ip);
  if (requestRate > baselineRate * 3) {
    logger.warn('Abnormal request rate detected', { ip: req.ip, rate: requestRate });
  }

  next();
});

Intrusion detection provides early warning of attacks in progress, enabling proactive Incident Response.

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