@article{Ganeshan_TS_2020, title={Analytical Solution of Propagation of Worms in Wireless Sensor Network Model by Homotopy Perturbation Method}, volume={51}, url={https://journals.math.tku.edu.tw/index.php/TKJM/article/view/3249}, DOI={10.5556/j.tkjm.51.2020.3249}, abstractNote={<p>Wireless sensor networks (WSNs) have received wide-ranging consideration<br />due to their boundless potential in civil and military applications. Malicious<br />self-replicating codes, known as malware, pose substantial threat to the wireless computing infrastructure. The attacks of the malicious signals in the WSN<br />are epidemic in nature. Biological epidemic models will be helpful to understand the dynamical behavior of the malware attack in WSN. In this paper,<br />A (SEIRS-V) Susceptible - Exposed - Infected - Recovered - Susceptible with<br />a Vaccination compartment, describing the undercurrents of worm propagation with respect to time in wireless sensor network (WSN) is considered. The<br />analytical solution of WSN is obtained by Homotopy Perturbation Method.<br />Numerical results are obtained and are graphically interpreted using Maple.<br />The results assures that the dynamics of worm propagation in WSN by the<br />proposed model exhibits rich dynamics.</p>}, number={4}, journal={Tamkang Journal of Mathematics}, author={Ganeshan, Devipriya and TS, Kavitha}, year={2020}, month={Nov.}, pages={333–347} }