Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey

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 tech...

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Veröffentlicht in:	Security and communication networks 2020, Vol.2020 (2020), p.1-17, Article 8872923
Hauptverfasser:	Wu, Yirui, Feng, Jun, Wei, Dabao
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Behavior Computer Science Computer Science, Information Systems Cybercrime Cybersecurity Data encryption Datasets Deep learning False alarms Internet of Things Intrusion detection systems Literature reviews Machine learning Malware Neural networks Performance enhancement Recurrent neural networks Science & Technology Security management Technology Telecommunications Wireless communication systems Wireless communications Wireless networks
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