论文标题

开发智能建筑中网络物理安全性的硬件(HIL)测试床

Development of a hardware-In-the-Loop (HIL) testbed for cyber-physical security in smart buildings

论文作者

Li, Guowen, Yang, Zhiyao, Fu, Yangyang, Ren, Lingyu, O'Neill, Zheng, Parikh, Chirag

论文摘要

随着智能建筑物朝着开放通信技术的发展,通过Intranet甚至通过互联网提供对建筑自动化系统(BAS)的访问已成为一种普遍做法。但是,BAS在历史上是作为一个封闭环境而开发的,设计的网络安全考虑因素有限。因此,智能建筑物容易受到可访问性增加的网络攻击。这项研究介绍了硬件(HIL)测试床的开发和能力,用于测试和评估智能建筑中典型鲈鱼的网络物理安全性。测试床由三个子系统组成:(1)实时的HIL模拟器模拟虚拟建筑物的行为以及通过Modelica中的动态模拟的加热,通风和空调(HVAC)设备; (2)一组真正的HVAC控制器监视虚拟建筑操作并提供本地控制信号以控制HIL模拟器中的HVAC设备; (3)BAS服务器以及基于Web的服务,供用户通过BACNET网络远程远程访问HVAC控制器的时间表,设定点,趋势,警报和其他控制功能。该服务器为本地HVAC控制器生成基于规则的设定点。基于这三个子系统,HIL测试床支持建筑系统各个级别的攻击/无故障和攻击/故障注射实验。最终的测试数据可用于告知建筑社区并支持网络物理安全技术转移到建筑行业。

As smart buildings move towards open communication technologies, providing access to the Building Automation System (BAS) through the intranet, or even remotely through the Internet, has become a common practice. However, BAS was historically developed as a closed environment and designed with limited cyber-security considerations. Thus, smart buildings are vulnerable to cyber-attacks with the increased accessibility. This study introduces the development and capability of a Hardware-in-the-Loop (HIL) testbed for testing and evaluating the cyber-physical security of typical BASs in smart buildings. The testbed consists of three subsystems: (1) a real-time HIL emulator simulating the behavior of a virtual building as well as the Heating, Ventilation, and Air Conditioning (HVAC) equipment via a dynamic simulation in Modelica; (2) a set of real HVAC controllers monitoring the virtual building operation and providing local control signals to control HVAC equipment in the HIL emulator; and (3) a BAS server along with a web-based service for users to fully access the schedule, setpoints, trends, alarms, and other control functions of the HVAC controllers remotely through the BACnet network. The server generates rule-based setpoints to local HVAC controllers. Based on these three subsystems, the HIL testbed supports attack/fault-free and attack/fault-injection experiments at various levels of the building system. The resulting test data can be used to inform the building community and support the cyber-physical security technology transfer to the building industry.

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