Objective:
Ensure that bet data and game results can't be tampered with in transmission or storage.
Technology Stack:
Backend Language: Node.js / Java / Python / Golang
Encryption: AES, RSA, SHA-256
Database: PostgreSQL / MongoDB with encrypted fields
*Example *(Node.js with AES):
const crypto = require('crypto');
const algorithm = 'aes-256-cbc';
const key = crypto.randomBytes(32); // secret key
const iv = crypto.randomBytes(16); // initialization vector
function encrypt(data) {
const cipher = crypto.createCipheriv(algorithm, key, iv);
let encrypted = cipher.update(JSON.stringify(data), 'utf-8', 'hex');
encrypted += cipher.final('hex');
return { encryptedData: encrypted, iv: iv.toString('hex') };
}
function decrypt(encryptedData, iv) {
const decipher = crypto.createDecipheriv(algorithm, key, Buffer.from(iv, 'hex'));
let decrypted = decipher.update(encryptedData, 'hex', 'utf-8');
decrypted += decipher.final('utf-8');
return JSON.parse(decrypted);
}
2. Device Fingerprinting & Anomaly Detection
Objective:
Track user devices and behavior to detect bots, duplicate accounts, or risky login patterns.
Technology Stack:
Frontend: JavaScript (React/Angular/Vue)
Backend: Python (Flask/FastAPI) or Node.js
Libraries: FingerprintJS, DeviceDetector, UA-parser, GeoIP2
ML Models (Optional): Scikit-learn or TensorFlow (Python)
*Example *(JavaScript + Node.js):
Client (browser)
<script src="https://openfpcdn.io/fingerprintjs/v3"></script>
<script>
FingerprintJS.load().then(fp => {
fp.get().then(result => {
fetch('/api/track-device', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
visitorId: result.visitorId,
browser: result.components.userAgent.value,
screen: window.screen.width + 'x' + window.screen.height
})
});
});
});
</script>
Backend (Node.js):
app.post('/api/track-device', async (req, res) => {
const { visitorId, browser, screen } = req.body;
const previousDevices = await db.findDevicesByUser(req.user.id);
if (!previousDevices.includes(visitorId)) {
// alert risk engine
logSuspiciousActivity(req.user.id, visitorId);
}
res.sendStatus(200);
});
3.2FA, CAPTCHA, and Geo-Fencing
Objective:
Add extra layers of access control and compliance.
Tech:
2FA: TOTP via Google Authenticator
CAPTCHA: Google reCAPTCHA v3
Geo-Fencing: IP-to-country + Rules Engine
Example 1 – Google reCAPTCHA (Frontend):
<form id="login-form">
<input name="email">
<input name="password">
<div class="g-recaptcha" data-sitekey="your-site-key"></div>
<button>Login</button>
</form>
<script src="https://www.google.com/recaptcha/api.js" async defer></script>
Example 2 – TOTP (Node.js using speakeasy):
const speakeasy = require('speakeasy');
const secret = speakeasy.generateSecret({ name: "MyCasinoApp" });
// Send QR to user
console.log(secret.otpauth_url);
// Verify
const isVerified = speakeasy.totp.verify({
secret: secret.base32,
encoding: 'base32',
token: userInputCode
});
Example 3 – Geo-Fencing with IP:
import geoip2.database
reader = geoip2.database.Reader('/GeoLite2-Country.mmdb')
response = reader.country('103.31.144.0')
country = response.country.iso_code
if country not in ["UK", "MT", "GI", "IN"]:
raise PermissionError("Access denied from restricted jurisdiction")
End-to-End Platform Security
From encrypted game data and fingerprinting to real-time geofencing and multi-factor authentication, securing your platform is non-negotiable. For a complete overview of setting up a secure and fully compliant casino environment, refer to this step-by-step guide to launching an online game.
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