An IoT-Fuzzy Based Physical Attack Detection System for Wireless Video Surveillance System

A wireless video surveillance system is one of the cyber-physical security system types that transmits the signal of IP cameras through a wireless medium using a radio band. WVSSs play a significant role in critical infrastructure protection. However, WVSSs are vulnerable to different attacks that breach the confidentiality, integrity, and availability of this system, such as physical attacks, which lead to their exploitation to launch cyberattacks on other systems. Hence, it is essential to secure the WVSS from this attack. This paper aims to design and implement a Fuzzy-IoT based motion detection system as a protective shield for WVSS. The purpose of this system is to monitor the WVSS to detect and countermeasure its vulnerability. This proposed system includes two parts: the hardware part and the software part. The hardware part relies on the principle of the Internet of Things that represents the environment of algorithm execution. The software part describes how the Mamdani Fuzzy Inference System will be applied to develop a physical attack detection algorithm to protect WVSS's components. The experimental results show that the proposed system detects and counteracts the mentioned attack with high accuracy and efficiency by alerting the system administrator about this attack via the public Gmail server.