Hybrid Grasshopper Whale Optimization Algorithm Based on Faster Recurrent Convolutional Neural Network for Intrusion Detection System in Internet of Things-Reference-Cited by-同舟云学术

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Hybrid Grasshopper Whale Optimization Algorithm Based on Faster Recurrent Convolutional Neural Network for Intrusion Detection System in Internet of Things

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:

Kumar Suvarna Sunil¹,Goutham V.²,Prathima Y³,Unnisa Raheem⁴,T M Aruna⁵

Affiliation:

1. Malla Reddy Engineering College for Women,IT Department,Hyderabad,India

2. Nalla Narasimha Reddy Group of Institutions,CSE Department,Hyderabad,India

3. CMR Engineering College,Department of Computer Science and Engineering,Hyderabad,India

4. CMR Technical Campus,Department of Computer Science and Engineering,Hyderabad,India

5. Nitte Meenakshi Institute of Technology,Yelahanka Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10392460.pdf?arnumber=10392460

Reference15 articles.

1. DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT

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

3. A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things

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

5. A deep learning-based intrusion detection approach for mobile Ad-hoc network

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