Analysis of Delay-Aware Worm Propagation Model in Wireless IoT Systems with Ratio-Dependent Functional Response

This article presents a delayed susceptibility, exposure, infectivity, recovery, and vaccination (SEIRV) model with nonlinear incidence ratio-dependent functional responses. Model limitations local stability analyses were examined strict consideration of delay awareness. In addition, the presence Hopf bifurcations as bifurcation parameter was investigated along feature distributions appropriate constraints. Numerical simulations are presented to verify proposed theoretical results. particular, if latency exceeds threshold, worm propagation in system may become out control. We demonstrated that characteristics worms can easily be predicted eliminated values below suitable threshold. Finally, we conclude is controllable by shifting bifurcations.