A novel framework for analyzing internet of things datasets for machine learning and deep learning-based intrusion detection systems
Muhammad Arief,
Made Gunawan,
Agung Septiadi
et al.
Abstract:To generate a machine learning (ML) and deep learning (DL) architecture with good performance, we need a decent dataset for the training and testing phases of the development process. Starting with the knowledge discovery and data mining (KDD) Cup 99 dataset, numerous datasets have been produced since 1998 to be utilized in the ML and DL-based intrusion detection systems (IDS) training and testing process. Because there are so many datasets accessible, it might be challenging for researchers to choose which da… Show more
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