SmartCity Cybersecurity IoT Dataset - Urban Infrastructure Security

About This Dataset

This cutting-edge dataset addresses the critical intersection of smart city security and sustainable IoT operations. It provides researchers with realistic data from urban IoT deployments including traffic management systems, environmental sensors, smart lighting, and public safety infrastructure.

Dataset Scope

Covers urban IoT devices (traffic sensors, air quality monitors, smart streetlights, parking systems, waste management sensors), edge computing nodes (gateways, fog computing units, edge analytics platforms), and multiple network layers (LoRaWAN, NB-IoT, 5G, WiFi, ZigBee) with continuous monitoring capturing daily, weekly, and seasonal patterns.

Security Dimensions

Includes protocol-level attacks (MQTT flooding, CoAP exploitation, LoRaWAN jamming), physical layer threats (sensor spoofing, GPS manipulation, radio interference), application attacks (false data injection, traffic light manipulation, emergency system disruption), and privacy attacks (user tracking, behavior profiling, location disclosure).

Sustainability Metrics

Unique integration of energy efficiency measurements including power consumption profiles per device type, battery drain rates under normal and attack conditions, network overhead and transmission energy costs, and carbon footprint estimations for urban IoT operations.