Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities-Reference-Cited by-同舟云学术

Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities

Published:2024-04 Issue: Volume:155 Page:111434
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Saheed Yakub Kayode,Abdulganiyu Oluwadamilare Harazeem,Tchakoucht Taha Ait

Publisher

Elsevier BV

Reference62 articles.

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2. A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things;Kayode;Int. J. Inf. Secur.,2024

3. Fog Computing and the Internet of Things: Extend the Cloud to Where the Things Are What, vol. 28, no. 1. 2014, pp. 41–62.

4. Machine learning-based blockchain technology for protection and privacy against intrusion attacks in intelligent transportation systems;Saheed;Mach. Learn., Block Technol. Big Data Anal. IoTs: Methods, Technol. Appl.,,2022

5. The case for VM-based cloudlets in mobile computing;Satyanarayanan;IEEE Pervasive Comput.,2009

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