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A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model

P. Keserwani, M. C. Govil, Emmanuel S. PIlli, Prajjval Govil

2021.1.18Journal of Reliable Intelligent Environments

DOI: 10.1007/s40860-020-00126-x

tlooto Summary

An IDS to identify various attacks for IoT networks is proposed and has achieved an average accuracy of 99.66% for multiclass classification and the accuracy of the proposed model has been compared with other similar approaches to show its effectiveness.

Abstract

Abstract is not available.

Citation format

KESERWANI, P., et al. A smart anomaly-based intrusion detection system for the internet of things (iot) network using GWO–PSO–RF model. Journal of Reliable Intelligent Environments, 2021, 7: 3–21.