Intrusion Detection in WSN with Optimal Trained Hybrid Model: Introduction to Self-Improved Beluga Whale Optimization-Reference-Cited by-同舟云学术

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Intrusion Detection in WSN with Optimal Trained Hybrid Model: Introduction to Self-Improved Beluga Whale Optimization

Published:2024-01-11 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Chandan Madhavarapu¹,Santhi S G²,Rao T Srinivasa³

Affiliation:

1. Annamalai University,Faculty of Engineering and Technology,Department of Computer Science and Engineering,Annamalainagar,Tamil Nadu,India

2. Faculty of Engineering and Technology,Department of Computer Science and Engineering,Annamalainagar,Tamil Nadu,India,608002

3. Gudlavalleru Engineering College,Department of Computer Science and Engineering,Gudlavalleru,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468568/10468675/10469314.pdf?arnumber=10469314

Reference20 articles.

1. A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks

2. Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks

3. Neuro-Fuzzy Based Intrusion Detection System for Wireless Sensor Network

4. Wireless sensor network intrusion detection system based on MK-ELM

5. A Novel QoS Based Secure Unequal Clustering Protocol with Intrusion Detection System in Wireless Sensor Networks

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