Evaluation of Network Security Grade Protection Combined With Deep Learning for Intrusion Detection-Reference-Cited by-同舟云学术

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Evaluation of Network Security Grade Protection Combined With Deep Learning for Intrusion Detection

Published:2023 Issue: Volume:11 Page:130990-131000
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lin Shaodan¹^ORCID,Feng Chen²,Jiang Tao³,Jing Huasong⁴

Affiliation:

1. College of Mechanical and Intelligent Manufacturing, Fuzhou, China

2. Department of Information Engineering, Fuzhou Polytechnic, Fuzhou, China

3. Fujian Chuanzheng Communications College, Fuzhou, China

4. Fujian Zhong Xin Network Security Information Technology Company Ltd., Fuzhou, China

Funder

Fujian Science and Technology Plan Guided Project

Construction of Collaborative Innovation Center for Intelligent Equipment Application Technology in Fujian Vocational Colleges Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10318039.pdf?arnumber=10318039

Reference37 articles.

1. Droid-Sec

2. An efficient segmentation algorithm for vehicle body surface damage detection;lin;J Data Acquisition Process,2021

3. Calculation of Network Security Index Based on Convolution Neural Networks

4. Applying convolutional neural network for network intrusion detection

5. Deep learning approach for Network Intrusion Detection in Software Defined Networking

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