Sparse Autoencoder with SGReLU Activation Based Network Intrusion Detection System-Reference-Cited by-同舟云学术

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Sparse Autoencoder with SGReLU Activation Based Network Intrusion Detection System

Published:2023-10-20 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
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Author:

P Chandra Sekar¹,Kumar Komuravelly Sudheer²,Bindu Garikapati³,Kumar R. Dinesh⁴,S Pradeep Kumar⁵

Affiliation:

1. Siddartha Institute of Science and Tech,Department of ECE,Puttur,India

2. School of Computer Science & Artificial Intelligence SR University,Warangal,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Guntur,India

4. Saveetha School of Engineering,Department of ECE,Thandalam,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393101.pdf?arnumber=10393101

Reference15 articles.

1. A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks

2. STIP-GCN: Space-time interest points graph convolutional network for action recognition

3. A Novel Hybrid Intrusion Detection System (IDS) for the Detection of Internet of Things (IoT) Network Attacks

4. Hybrid Intrusion Detection System for Internet of Things (IoT)

5. STIP-GCN: Space-time interest points graph convolutional network for action recognition

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