A real-time and ubiquitous network attack detection based on deep belief network and support vector machine

H Zhang, Y Li, Z Lv, AK Sangaiah… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
In recent years, network traffic data have become larger and more complex, leading to
higher possibilities of network intrusion. Traditional intrusion detection methods face …
被引用次数：131 相关文章

A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine

H Zhang, Y Li, Z Lv, AK Sangaiah… - IEEE/CAA Journal of …, 2020 - ieee-jas.net
In recent years, network traffic data have become larger and more complex, leading to
higher possibilities of network intrusion. Traditional intrusion detection methods face …
[PDF] academia.edu

[PDF][PDF] A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine

H Zhang, Y Li, Z Lv, AK Sangaiah, T Huang - academia.edu
In recent years, network traffic data have become larger and more complex, leading to
higher possibilities of network intrusion. Traditional intrusion detection methods face …

[引用][C] A real-time and ubiquitous network attack detection based on deep belief network and support vector machine

H Zhang, Y Li, Z Lv, AK Sangaiah… - IEEE/CAA Journal of …, 2020 - cir.nii.ac.jp
A real-time and ubiquitous network attack detection based on deep belief network and support
vector machine | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …

A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine

H Zhang, Y Li, Z Lv, AK Sangaiah… - IEEE/CAA Journal of …, 2020 - ieee-jas.net
In recent years, network traffic data have become larger and more complex, leading to
higher possibilities of network intrusion. Traditional intrusion detection methods face …