CFS-AE: Correlation-based Feature Selection and Autoencoder for Improved Intrusion Detection System Performance
Seiba Alhassan,
Dr. Gaddafi Abdul-Salaam,
Asante Micheal
et al.
Abstract:The major problem computer network users face concerning data – whether in storage, in transit, or being processed - is unauthorized access. This unauthorized access typically leads to the loss of confidentiality, integrity, and availability of data. Consequently, it is essential to implement an accurate Intrusion Detection System (IDS) for every information system. Many researchers have proposed machine learning and deep learning models, such as autoencoders, to enhance existing IDS. However, the accuracy of … Show more
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