LI-HML detector: a unified framework for network traffic attack classification

Key Points

• The LI-HML detector effectively classifies network traffic attacks, enhancing security.
• Key metrics show a significant detection rate of 98% for various attack types.
• Analysis employed a machine learning framework to improve classification accuracy on diverse datasets.
• This approach highlights the need for robust security frameworks in digital networks.