Elnour Mariam, Meskin Nader, Khan Khaled, Jain Raj
Department of Electrical Engineering, Qatar University, Qatar.
Department of Computer Science and Engineering, Qatar University, Qatar.
Data Brief. 2021 May 28;37:107166. doi: 10.1016/j.dib.2021.107166. eCollection 2021 Aug.
The importance of the security of building management systems (BMSs) has increased given the advances in the technologies used. Since the Heating, Ventilation, and Air Conditioning (HVAC) system in buildings accounts for about 40% of the total energy consumption, threats targeting the HVAC system can be quite severe and costly. Given the limitations on accessing a real HVAC system for research purposes and the unavailability of public labeled datasets to investigate the cybersecurity of HVAC systems, this paper presents a dataset of a 12-zone HVAC system that was collected from a simulation model using the Transient System Simulation Tool (TRNSYS). It aims to promote and support the research in the field of cybersecurity of HVAC systems in smart buildings [1] by facilitating the validation of attack detection and mitigation strategies, benchmarking the performance of different data-driven algorithms, and studying the impact of attacks on the HVAC system.
随着所使用技术的进步，建筑管理系统（BMS）安全的重要性日益增加。由于建筑物中的供暖、通风和空调（HVAC）系统约占总能耗的40%，针对HVAC系统的威胁可能相当严重且代价高昂。鉴于出于研究目的访问真实HVAC系统存在限制，且缺乏用于研究HVAC系统网络安全的公共标记数据集，本文展示了一个12区域HVAC系统的数据集，该数据集是使用瞬态系统仿真工具（TRNSYS）从仿真模型中收集的。其目的是通过促进攻击检测和缓解策略的验证、对不同数据驱动算法的性能进行基准测试以及研究攻击对HVAC系统的影响，来推动和支持智能建筑中HVAC系统网络安全领域的研究[1]。
