A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithm-Reference-Cited by-同舟云学术

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

Published:2021-12-11 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Mendonça Robson V.¹,Silva Juan C.²,Rosa Renata L.¹,Saadi Muhammad³^ORCID,Rodriguez Demostenes Z.¹,Farouk Ahmed⁴

Affiliation:

1. Department of Computer Sciences Federal University of Lavras Lavras Brazil

2. Department of Sciences Pontifical Catholic University Lima Peru

3. Department of Electrical Engineering, Faculty of Engineering University of Central Punjab Lahore Pakistan

4. Department of Computer Science, Faculty of Computers and Artificial Intelligence South Valley University Hurghada Egypt

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12917

Reference36 articles.

1. Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

2. Affonso E. T. Rodríguez D. Z. Rosa R. L. Andrade T. &Bressan G.(2016).Voice quality assessment in mobile devices considering different fading models(pp. 21–22). IEEE International Symposium on Consumer Electronics (ISCE) [Conference presentation].

3. A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization

4. Performance analysis of access class barring for next generation IoT devices

5. Quantumized approach of load scheduling in fog computing environment for IoT applications;Bhatia M.;Computing,2020

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