**ECLIPSE** is a national-level hackathon focused on **IoT and Network Security**, designed exclusively for students to solve real-world cybersecurity challenges. **Sponserd by ISEA** (Information Security Education and Awareness), MeitY, Government of India **Theme/Problem Statement: IoT Trust & Drift Analytics** Build a cyber-security lens for IoT networks: score device trust, detect policy drift, and explain exactly why a device looks risky—using only network telemetry. **THIS IS A COMPLETE SOFTWARE BASED HACKATHON** **Background / Context:** IoT/IIoT devices (cameras, sensors, gateways, smart controllers) are everywhere—and they often can’t run heavy security agents. That makes the network the best place to observe behaviour. In real cyber incidents, compromised or misconfigured devices rarely “announce” themselves; instead, they gradually change how they communicate: new destinations, unusual timing patterns, unexpected protocols, abnormal spikes, or slow drift away from what was previously normal. Security teams need a system that can answer three things clearly: Is this device still trustworthy right now? Is it still behaving within expected “allowed” communication boundaries? If not, what exactly changed—and what proof supports that? **The COOL factors !** This challenge lets you build something that feels like a real SOC capability for IoT: You’re not just detecting anomalies—you’re building a trust engine. You’re not just raising alerts—you’re producing proof and reasoning. You’re using AI/ML in a realistic, controlled way—like modern cybersecurity products do.