AI Solutions for IoT Security Challenges

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This project explores IoT security, focusing on DDoS attack risks and the development of an AI-based detection methodology. It outlines the use of the CICIoT2023 dataset for preprocessing, feature selection, and machine learning model evaluation. The anticipated outcomes include a prototype for practical IoT applications, contributing to societal goals and sustainable development. Future work will emphasize real-time monitoring and further advancements in IoT security.