The intrusion detection system was created utilising a variety of machine learning algorithms. For training and testing, a variety of publicly available datasets were employed. Various machine learning algorithms were used to analyse the performance matrix, such as accuracy, precision, and recall. On diverse data sets, a few deep learning approaches have also been employed to measure the performance statistic. As a challenge and for future study, other deep learning approaches that provide greater accuracy with real-time data traffic are required. We will look at various machine learning and deep learning methods for evaluating performance measures on diverse data sets in this post.
Author(S) Details
C. Chethana
Department of CSE, BMS Institute of Technology and Management, India.
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