A Review of Intrusion Detection Technology Based on Deep Rein-forcement Learning
Abstract
With the rapid development of modern science and technology, all kinds of network attacks are updated constantly. Therefore, the traditional network security defense mechanism needs to be further improved. Through extensive investigation, this paper presents the latest work of network intrusion detection technology based on deep learning. Firstly, this paper introduces the related concepts of network intrusion detection technology. On this basis, we further evaluate the performance of three common deep learning models in intrusion detection, and conclude that DBN algorithm has some strong advantages. Afterwards, it also puts forward several improvement strategies of intrusion detection models.
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DOI: https://doi.org/10.18686/esta.v7i4.164
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Copyright (c) 2020 Juquan Yu, Rui Zhou, Ziming Wang, Zixing Wang
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