Hybrid Optimization Based Convolutional Neural Network for Intrusion Detection System-Reference-Cited by-同舟云学术

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Hybrid Optimization Based Convolutional Neural Network for 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:

N Sureka¹,Girirajan B.²,Kumar Komuravelly Sudheer³,Priya B. S. Deepa⁴,M Sowmya⁵

Affiliation:

1. Agni College of Technology,Department of Biomedical Engineering,Chennai,India

2. SR University,Department of ECE,Warangal,India

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

4. Bannari Amman Institute of Technology,Department of CSE,Sathyamangalam, Erode,India

5. Nitte Meenakshi Institute of Technology,Department of AI and DS,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393521.pdf?arnumber=10393521

Reference14 articles.

1. Network intrusion detection based on deep learning method in internet of thing

2. A deep learning technique for intrusion detection system using a Recurrent Neural Networks based framework

3. A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks

4. M-FFN: multi-scale feature fusion network for image captioning

5. A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithm

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