A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

Intrusion detection plays an important role in ensuring information security, and the key technology is to accurately identify various attacks in the network. In this paper, we explore how to model an intrusion detection system based on deep learning, and we propose a deep learning approach for intr...

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Bibliographic Details
Main Authors: Chuanlong Yin, Yuefei Zhu, Jinlong Fei, Xinzheng He
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Recurrent neural networks
RNN-IDS
intrusion detection
deep learning
machine learning
Online Access:https://ieeexplore.ieee.org/document/8066291/

Internet

https://ieeexplore.ieee.org/document/8066291/

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