Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study

Volume: 50, Pages: 102419 - 102419
Published: Feb 1, 2020
Abstract
In this paper, we present a survey of deep learning approaches for cyber security intrusion detection, the datasets used, and a comparative study. Specifically, we provide a review of intrusion detection systems based on deep learning approaches. The dataset plays an important role in intrusion detection, therefore we describe 35 well-known cyber datasets and provide a classification of these datasets into seven categories; namely, network...
Paper Details
Title
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
Published Date
Feb 1, 2020
Volume
50
Pages
102419 - 102419
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