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.
← Previous
Backend WAF Implementation — Web Application Firewall for Backend APIs
Next →
Backend Security Compliance — Meeting Security Compliance Standards
Built by the developers of DodaTech
Doda Browser, DodaZIP & Durga Antivirus Pro