Intrusion detection framework using auto‐metric graph neural network optimized with hybrid woodpecker mating and capuchin search optimization algorithm in IoT network-Reference-Cited by-同舟云学术

Intrusion detection framework using auto‐metric graph neural network optimized with hybrid woodpecker mating and capuchin search optimization algorithm in IoT network

Published:2022-09-21 Issue:24 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Govindaraju Shanthi¹^ORCID,Vinisha Wilson Vimala Rani²,Shajin Francis H.³,Sivasakthi D. Adhimuga⁴

Affiliation:

1. Department of Electronics and Communication Engineering Sri Krishna College of Technology (SKCT) Coimbatore Tamilnadu India

2. Department of Computer science and Engineering Bethlahem Institute of Engineering Ulaganvilai Tamilnadu India

3. Department of Electronics and Communication Engineering Anna University Chennai India

4. Department of Computer Technology Anna University Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7197

Reference42 articles.

1. Novel Hybrid Model for Intrusion Prediction on Cyber Physical Systems’ Communication Networks based on Bio-inspired Deep Neural Network Structure

2. A Robust Approach for Securing Audio Classification Against Adversarial Attacks

3. Recent advances and development in optimal design and control of ground source heat pump systems

4. Network intrusion detection system: A systematic study of machine learning and deep learning approaches

5. Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review

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