Stopping the Bots: Defending an E-commerce Platform from Scalping and DDoS

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The Challenge: A Malicious Surge in Traffic

During a massive "Big Billion" style festival sale, a leading e-commerce platform in India faced an onslaught of Bad Bots. These bots were performing "Inventory Hoarding" (adding items to carts to prevent real users from buying) and "Credential Stuffing" (trying stolen passwords on thousands of accounts). The site speed dropped by 80%, and legitimate customers were unable to checkout.

The Kian Response: Real-Time Mitigation

Kian Technologies deployed an Adaptive Bot Management System. Unlike simple CAPTCHAs, our system analyzed Browser Fingerprinting and Keystroke Dynamics to differentiate between a human and an automated script. We realized that the attackers were using a distributed botnet spread across 15 different countries to bypass IP-based blocking.

Key Implementation Steps:

  • Rate Limiting: We restricted the number of requests per second from any single session.
  • Virtual Waiting Room: For extreme traffic spikes, we implemented a secure queue system to prevent server crashes.
  • Behavioral Challenges: Instead of intrusive puzzles, we used invisible "Honeypot" fields that only bots would fill out, allowing us to block them instantly.

The Result:

Within two hours of deployment, the bot traffic was reduced by 95%. The platform handled a record-breaking 1 million concurrent users during the peak sale hour without any downtime. This case study demonstrates the power of Behavioral AI in modern web defense.

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