Analytical Solution of Propagation of Worms in Wireless Sensor Network Model by Homotopy Perturbation Method
Main Article Content
Abstract
Wireless sensor networks (WSNs) have received wide-ranging consideration
due to their boundless potential in civil and military applications. Malicious
self-replicating codes, known as malware, pose substantial threat to the wireless computing infrastructure. The attacks of the malicious signals in the WSN
are epidemic in nature. Biological epidemic models will be helpful to understand the dynamical behavior of the malware attack in WSN. In this paper,
A (SEIRS-V) Susceptible - Exposed - Infected - Recovered - Susceptible with
a Vaccination compartment, describing the undercurrents of worm propagation with respect to time in wireless sensor network (WSN) is considered. The
analytical solution of WSN is obtained by Homotopy Perturbation Method.
Numerical results are obtained and are graphically interpreted using Maple.
The results assures that the dynamics of worm propagation in WSN by the
proposed model exhibits rich dynamics.
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