Abstract
This thesis analyzes cybersecurity problems in IoT (Internet of Things)-based water reservoir management systems and protection methods using generative artificial intelligence. Due to the connection of IoT devices to the Internet, the risk of various cyberattacks is increasing. The thesis examines threats such as DDoS attacks, malware, data theft, and fake sensor data, and proposes methods for anomaly detection and automated protection mechanisms based on generative artificial intelligence.
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