Feature Engineering and Machine Learning Framework for DDoS Attack Detection in the Standardised Internet of Things

Key Points

• The research aims to develop an efficient machine learning framework to detect DDoS attacks in IoT settings.
• Conducted feature engineering to extract relevant data points for detection.
• Implemented various machine learning algorithms for evaluating performance.
• Tested the framework using real-time data from IoT environments.
• Achieved a significant reduction in false positive rates during DDoS detection.
• Improved detection accuracy compared to traditional methods.