Semnan University International Journal of Nonlinear Analysis and Applications 2008-6822 13 2 2022 07 01 Application of meta-heuristic algorithms in intrusion detection system 2517 2540 6703 10.22075/ijnaa.2022.27338.3563 EN Amirreza Saba School of Technology and Innovation, Marymount University, Virginia, USA Xiang Michelle Liu School of Technology and Innovation, Marymount University, Virginia, USA Marjan Mansourvar DTU Computer Bioscience Group, Technical University of Denmark (DTU), Lyngby, Denmark Journal Article 2021 11 25 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. https://ijnaa.semnan.ac.ir/article_6703_f29e2360ef277f77595dfae0aab78138.pdf