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ANFIS based authentication performance evaluation for enhancing security in Internet of Things

In this paper, we introduce a robust authentication mechanism for identification in order to secure the wireless channel in IoT networks. Internet of Things is viewed as the most scaled down segment of nano sensor systems that have a significant potential to be embraced continuously for its large array of applications. However, when it comes to nanotechnology, smart identification technique with a secured communication channel is one of the main requirements. Operation with light computational complexity like XOR and Rotation have been used to enhance the security of the network channel. The proposed authentication mechanism has three levels of authentication. Moreover, ANFIS based authentication performance evaluation model has been developed and analyzed based on successful authentication rate and simulated with Fuzzy logic. Simulation has been conducted using MATLAB. It is being concluded after simulation that successful authentication should be 70% for any two levels and no less than 30% in any level. Finally, the proposed mechanism enhances the security in IoT networks which will indicate our mechanism as an effective one.