GRU-based deep learning approach for network intrusion alert prediction
Abstract
The exponential growth in the number of cyber attacks in the recent past has necessitated active research on network intrusion detection, prediction and mitigation systems. While there are numerous solutions available for intrusion detection, the prediction of future network intrusions still remains an open research problem. Existing approaches employ statistical and/or shallow machine learning methods for the task, and therefore suffer from the...
Paper Details
Title
GRU-based deep learning approach for network intrusion alert prediction
Published Date
Mar 1, 2022
Volume
128
Pages
235 - 247
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