Abstract: Jamming attack is one of the most common threats on wireless networks through sending a high-power signal to the network in order to corrupt legitimate packets. To address Jamming attacks problem, the Particle Swarm Optimization (PSO) algorithm is used to describe and simulate the behavior of a large group of entities, with similar characteristics or attributes, as they progress to achieve an optimal group, or swarm. Therefore, in this study enhanced version of PSO is proposed called the Improved PSO algorithm aims to enhance the detection of jamming attack sources over randomized mobile networks. The simulation result shows that Improved PSO algorithm in this study is faster at obtaining the location of the given mobile network at which coverage area is minimal and hence central compared to other algorithms. The Improved PSO as well was applied to a mobile network. The Improved PSO algorithm was evaluated with two experiments. In the First experiment, The Improved PSO was compared with PSO, GWO and MFO, obtained results shown the Improved PSO is the best algorithm among others to fine obtain the location for jamming attack. In Second experiment, Improved PSO was compared with PSO in mobile network environment. The obtain results prove that Improved PSO is better than PSO for obtaining the location in mobile network where coverage area is minimal and hence central.

Ahmad K. Al Hwaitat, Mohammed Amin Almaiah, Omar Almomani, Mohammed Al-Zahrani, Rizik M. Al-Sayed, Rania M.Asaifi, Khalid K. Adhim, Ahmad Althunibat and Adeeb Alsaaidah, “Improved Security Particle Swarm Optimization (PSO) Algorithm to Detect Radio Jamming Attacks in Mobile Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110480

@article{Hwaitat2020,
title = {Improved Security Particle Swarm Optimization (PSO) Algorithm to Detect Radio Jamming Attacks in Mobile Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110480},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110480},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Ahmad K. Al Hwaitat and Mohammed Amin Almaiah and Omar Almomani and Mohammed Al-Zahrani and Rizik M. Al-Sayed and Rania M.Asaifi and Khalid K. Adhim and Ahmad Althunibat and Adeeb Alsaaidah}
}