An IoT-fuzzy based password checker system for wireless video surveillance system

Wireless video surveillance systems (WVSS) are deployed in large environments for use strategic places such as town centers, public streets, and airports play an essential role protecting critical infrastructure. However, WVSSs vulnerable to unauthorized access due weak login credentials, which leads their exploitation launch cyberattacks on other systems, distributed denial-of-service attacks. Hence, it is secure these from access. This paper proposes the Mamdani fuzzy inference system (FIS)-based password checker algorithm estimate strength ratio (PSR) of internet protocol (IP) cameras things (IoT) devices. composes three stages, extraction stage, evaluates input parameters FIS real-time streaming (RTSP) using a counter characters. Then, processing stage uses optimize calculate PSR. Finally, alarm will notify administrator about IoT nodes. Unlike existing approaches, this improves detection accuracy by informing threatened Extensive experiments carried out determine efficiency proposed algorithm. The results confirm with high accuracy, outperforms schemes.