International Journal of Nonlinear Analysis and Applications

Application of meta-heuristic algorithms in intrusion detection system

Document Type : Research Paper

Authors

1 School of Technology and Innovation, Marymount University, Virginia, USA

2 DTU Computer Bioscience Group, Technical University of Denmark (DTU), Lyngby, Denmark

Abstract

With the Internet being the dominant tool for global communication in today’s world, the issue of Internet information security has become quite a significant challenge. Wireless sensor networks, like other systems, can be penetrated and it appears that natural communities, due to their adequate capabilities in information processing, can be utilized as a model in these networks. Accordingly, in this study, we shall analyze a model that uses the energy and operational power of the three meta-heuristic algorithms GA, PSO & GSO that occur in natural communities. Furthermore, we introduced four Dos, D-dos, Wormhole, and Sinkhole attacks to these algorithms, and thereafter examined their latency, throughput, and energy. The findings revealed that among these algorithms, the GA algorithm has the highest energy and the PSO algorithm has the highest throughput.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 2
July 2022
Pages 2517-2540
  • Receive Date: 25 November 2021
  • Revise Date: 14 January 2022
  • Accept Date: 02 March 2022