This problem ultimately causes a denial of access to legitimate network users or degrade the performance of the network. Also, there is no form of authentication or authorization between the controllers and switches before a flow is passed between the layers. However, the trust between the control planes and forwarding planes is the vulnerability that can be exploited by attackers to perform distributed denial of service attacks in an SDN. The DDOS introduces flood with large numbers of malicious packets from malicious hosts that consume network resources. The major drawback in SDN is the formation of Distributed Denial of Service (DDoS) attacks. The design of SDN allows a secured flexible network configurations. It is an innovative way in which networks are built by separating the control plane of network devices and data plan and thereby making their management easier through centralized control. Software defined networking (SDN) is an approach to network management that enables the network architecture to be centrally and intelligently controlled with the use of software applications. One other advantage of the method is that there is no need to describe the event in its full behavior (very long-time lengths) as well as wait for longer time series to be able to make predictions about how policies influence the event.KeywordsCOVID-19Mathematical modeling of infectious diseasesPredictive methodsModeling of processes and systems This tool could be used with precise data about when policies in a given country, region, or spatial sample started and it is possible to track the type and duration of policies with the patterns outputs for each analysis. To observe this assumption, statistical mode analysis was performed to extract a numerical indicator for the “I” compartment. Considering “I” (infectious) term as the most stable point of analysis to achieve proper predictive methods globally for policies measures.
This study starts with a problem concerning “S” (susceptible) and “R” (removed) compartments of the S.I.R model equation, due to confounding scenarios of variables that sustain it for policies' predictive analysis.
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