Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
With the development of the fifth-generation networks and artificial intelligence technologies, new threats and challenges have emerged to wireless communication system, especially in cybersecurity.
In this paper, we offer a review on attack detection methods involving strength of deep learning techniques.
Specifically, we firstly summarize fundamental problems of network security and attack detection and introduce several successful related applications using deep learning structure.
On the basis of categorization on deep learning methods, we pay special attention to attack detection methods built on different kinds of architectures, such as autoencoders, generative adversarial network, recurrent neural network, and convolutional neural network.
Afterwards, we present some benchmark datasets with descriptions and compare the performance of representing approaches to show the current working state of attack detection methods with deep learning structures.
Finally, we summarize this paper and discuss some ways to improve the performance of attack detection under thoughts of utilizing deep learning structures.
American Psychological Association (APA)
Wu, Yirui& Wei, Dabao& Feng, Jun. 2020. Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1208826
Modern Language Association (MLA)
Wu, Yirui…[et al.]. Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey. Security and Communication Networks No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1208826
American Medical Association (AMA)
Wu, Yirui& Wei, Dabao& Feng, Jun. Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1208826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208826