Dynamics and Control Strategies for SLBRS Model of Computer Viruses Based on Complex Networks

<div>Consider the effect of different node initial values on the SLBRS model. The figure shows the dynamic behaviors of initial states of [950, 25, 25, 0], [800, 150, 40, 10], [550, 250, 150, 50] and [500, 200, 200, 100], and the density of each population as a function of time <span class="nowrap"><svg height="8.02022pt" id="M117" style="vertical-align:-0.2063999pt" version="1.1" viewbox="-0.0498162 -7.81382 4.54925 8.02022" width="4.54925pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M324 430H196L233 583L223 592L145 529L120 430H54L29 396L31 388H111L56 126C33 15 54 -12 77 -12C137 -12 214 57 250 95L233 119C208 92 155 59 138 59C126 59 120 70 131 125L186 390L298 394L324 430Z"></path></g></svg>.</span> Other parameters are <span class="nowrap"><svg height="12.7178pt" id="M118" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 374.595 12.7178" width="374.595pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g 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International Journal of Intelligent Systems

fig4

Figure 4

Figure 4: Dynamics and Control Strategies for SLBRS Model of Computer Viruses Based on Complex Networks 