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About Review: Deep Learning Methods For Cybersecurity and Intrusion Detection Systems
This document discusses using deep learning methods for cybersecurity and intrusion detection systems. It introduces a deep learning framework for cybersecurity applications. Deep learning models can learn representations of raw input data with multiple abstraction levels and help efficiently solve complex cybersecurity problems by customizing models. The document provides background on deep learning and an overview of state-of-the-art models. It then surveys literature on representative deep learning systems employed for network intrusion detection, matching proposed methodologies to datasets used for evaluation.
Detailed Information
| Author: | ['Chaima Belhedi'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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