Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets

A new preliminary study highlights the potential of artificial intelligence methods in enhancing cybersecurity threat detection by analyzing raw data packets directly. Unlike traditional methods that rely on traffic flow characteristics, this approach leverages deep learning algorithms to extract features and patterns more effectively. This innovation could lead to improved real-time monitoring and reduce dependencies on additional software components, making it a significant advancement in the field of cybersecurity.