Raspberry Pi 5 Adversarial IoT Sensor Defence Kit — Train a Model That Detects and Filters Poisoned Sensor Data

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Adversarial perturbations can turn an IoT sensor network into a liability — injecting false readings that trigger incorrect decisions without visible tampering. This kit puts you on the defence side, using a Raspberry Pi 5 as the central node that runs a pre-trained detection model. Three ESP32 endpoints stream real sensor data while the Pi 5's model identifies and quarantines poisoned inputs, giving you a working lab for adversarial resilience in connected systems.

What You'll Build

You will build a distributed IoT defence station. Three ESP32 boards, each connected to a pair of sensors, continuously transmit environmental readings to the Raspberry Pi 5. The Pi runs an adversarial detection model stored on a high-speed NVMe SSD, classifying each arriving sample as clean or adversarial. Poisoned readings are logged and blocked, while clean data feeds a visualization dashboard — a complete adversarial filtering pipeline that mirrors real-world industrial IoT security setups.

What You'll Learn

• Deploy and fine-tune an adversarial detection neural network on a Raspberry Pi 5 edge device
• Stream multi-sensor data from ESP32 nodes using MQTT and handle real-time classification latency
• Implement adversarial perturbation analysis: fast gradient sign method, projected gradient descent, and defensive distillation
• Optically isolate and sandbox compromised sensor streams without disrupting the entire mesh

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This kit is built for final-year B.Tech ECE/EEE students pursuing adversarial ML and IoT security capstone projects, Smart India Hackathon participants building critical infrastructure hardening solutions, and research scholars at IITs, NITs, and VIT working on edge-based anomaly detection. ATL lab mentors running advanced cybersecurity workshops will also find the pre-integrated sensor mesh and attack simulations immediately usable.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.