Network Intrusion Detection using Machine Learning, Deep Learning - A Review-Reference-Cited by-同舟云学术

Network Intrusion Detection using Machine Learning, Deep Learning - A Review

Published:2022-01-20 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Varanasi VenkataRamani¹,Razia Shaik¹

Affiliation:

1. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716469.pdf?arnumber=9716469

Reference52 articles.

1. Intrusion Detection Using Convolutional Neural Networks for Representation Learning

2. DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System

3. LSTM for Anomaly-Based Network Intrusion Detection

4. Research on Intrusion Detection Based on Improved DBN-ELM;dai;2019 International Conference on Communications Information System and Computer Engineering (CISCE),0

5. An Intrusion Detection System Based on Convolutional Neural Network

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