A Study on Asset Identification in Smart Buildings Automation Systems

Smart building automation systems (BASs) are designed to improve the convenience of residents and achieve efficient energy management, resulting in an increase in their components. However, unlike conventional building systems, smart BASs are connected to the Internet, and cybersecurity threats targeting the smart BASs are on the rise. To address this issue, it is essential to identify the assets or devices that make up a smart BASs and mitigate the vulnerabilities in the assets. However, applying asset identification techniques used in traditional information technology (IT) systems to smart BASs is challenging because smart BASs consist of IT, operational technology (OT), and industrial IoT (IIoT) devices. In this paper, we conduct a basic experiment to analyze network traffic of some assets and try to identify each asset in a mini smart building system. We then present the challenges that need to be addressed for effective asset identification in smart BASs.