Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm-Reference-Cited by-同舟云学术

Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm

Published:2023-05 Issue: Volume:175 Page:1-21
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Asgharzadeh Hossein^ORCID,Ghaffari Ali,Masdari Mohammad,Soleimanian Gharehchopogh Farhad^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference60 articles.

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3. Deep recurrent neural network for IoT intrusion detection system;Almiani;Simul. Model. Pract. Theory,2020

4. Chaotic slime Mould optimization algorithm for global optimization;Altay;Artif. Intell. Rev.,2022

5. Deep Belief Network enhanced intrusion detection system to prevent security breach in the Internet of Things;Balakrishnan;Int. Things,2021

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