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The model will be represented as a web-based service where a designer enters his design parameters for a specific IoT device through a provided interface. Once the parameters are received, they are sent to the IoTES model. The model is consisting of our already designed dataset where the information and different parameters of all the IoT devices are present already. Based on the machine learning algorithm, the model decides and selects the suitable encryption mechanism for the particular IoT device. The model sends the feedback of matching encryption to the
interface where designer can view and interact with the matching encryption provided options.
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