Energy-Aware Smart Home Real-Life Testbed Dataset for Fault and Attack Classification in IoT-Based CPS

Overview File SmartHome_RealLife_TB.csv Total instances 788 Features 25 (+ 1 class label column) Source Real-time testbed — TCP packet capture via Wireshark This dataset was collected from a real-time testbed implementation of an Energy Aware Smart Home (EASH) system, as described in: G. Tertytchny, N. Nicolaou, and M. K. Michael, "Classifying network abnormalities into faults and attacks in IoT-based cyber physical systems using machine learning", Submitted to Elsevier. The dataset supports a supervised machine learning framework for differentiating between component faults and network attacks in IoT-based Cyber Physical Systems (CPS), based on communication channel characteristics extracted from TCP traffic.