Published May 27, 2026
| Version v1
Dataset
Open
Energy-Aware Smart Home Real-Life Testbed Dataset for Fault and Attack Classification in IoT-Based CPS
Authors/Creators
- 1. KIOS Research and Innovation Center of Excellence, University of Cyprus
- 2. Department of Electrical and Computer Engineering, University of Cyprus
- 3. Algolysis Ltd
Description
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.
Files
SmartHome_RealLife_TB.csv
Files
(123.8 kB)
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