AI-Based Network Security Anomaly Prediction and Detection in Future Network-Reference-Cited by-同舟云学术

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AI-Based Network Security Anomaly Prediction and Detection in Future Network

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Symposium on Digital Forensics and Security (ISDFS)
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Author:

Abdiyeva-Aliyeva Gunay¹

Affiliation:

1. Institute of Control Systems of the Ministry of Science and Education of the Republic of Azerbaijan,Laboratory of Control in Emergency Situations(Doctorate of Science/Postdoc),Baku,Azerbaijan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10131120/10131673/10131845.pdf?arnumber=10131845

Reference27 articles.

1. Online Anomaly Energy Consumption Detection Using Lambda Architecture

2. Performance analysis of machine learning classifiers for non-technical loss detection

3. Network Intrusion Detection through Stacking Dilated Convolutional Autoencoders

4. Intrusion Detection in KDD99 Dataset using SVM-PSO and Feature Reduction with Information Gain

5. Machine Learning Approach for IP-Flow Record Anomaly Detection

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