TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection
The effectiveness of network intrusion detection systems, predominantly based on machine UHF learning, is highly influenced by the dataset they are trained on.Ensuring an accurate reflection of the multifaceted nature of benign and malicious traffic in these datasets is paramount for creating IDS models capable of recognizing and responding to a wi