This project simulates a realistic IoT water sensor used in smart infrastructure environments. It generates time-series telemetry data with built-in security considerations, including replay-attack detection and anomaly testing.

• Simulates a HYDROLOGIC-style water sensor
• Generates realistic pressure and flow telemetry
• Uses ISO 8601 UTC timestamps for global consistency
• Implements monotonically increasing counters for replay detection
• Injects realistic anomalies (leaks, blockages, stuck sensors)
• Exports data in JSON format for downstream analysis

IoT security depends on understanding how real devices behave — not just how they should behave.

This project was designed to:

• Model how unsecured telemetry can be spoofed or replayed
• Provide realistic data for anomaly detection testing
• Prepare sensor output for live MQTT pipelines and attack simulation

• src/water_sensor.py — Mock IoT sensor implementation
• sensor_data.json — Generated telemetry dataset (100 readings)

This dataset is used in a follow-up project to publish telemetry over an intentionally insecure MQTT pipeline, observe attacks in real time, then implement proper defenses.