Data Extraction and Analysis in Network Security Anti-attack Detection Based on Artificial Neural Network Algorithm-Reference-Cited by-同舟云学术

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Data Extraction and Analysis in Network Security Anti-attack Detection Based on Artificial Neural Network Algorithm

Published:2023-08-12 Issue: Volume: Page:11-15
ISSN:
Container-title:2023 International Conference on Data Science & Informatics (ICDSI)
language:
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Author:

Lin Liming¹,Cheng Jie²,Xia Ang²,Dang Fangfang³,Li Zhiqi⁴

Affiliation:

1. Xiamen Great Power Geo Information Technology Company Ltd.,Xiamen,China

2. State Grid Information & Telecommunication Co., Ltd.,Beijing,China

3. State Grid Henan Information & Telecommunication Company (Data Center),Zhengzhou,China

4. State Grid Cyber Security Technology (Beijing) Co., Ltd.,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483280/10483573/10483654.pdf?arnumber=10483654

Reference10 articles.

1. CAN-ADF: The controller area network attack detection framework

2. A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection

3. Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System

4. A homogeneous ensemble based dynamic artificial neural network for solving the intrusion detection problem

5. Iris anti-spoofing through score-level fusion of handcrafted and data-driven features

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