Data importance and feedback based adaptive level of authorization for the security of Internet of Things
With the rapid development of Internet of Things (IoT), it is widely used in various IoT applications. Generally, the IoT is used to interconnect each computing device assist by the unique identity of the Internet. Due to interconnections, the IoT constitutes intruder on the wireless communication channel, tampering with device, unauthorized access to the device and privacy risks. To enhance the IoT security, the data importance and feedback based adaptive level of authorization is proposed in this paper. The proposed method comprises of token initialization phase, request phase and authorization phase. The request phase is done between the IoT device and IoT server. Then, the authorization between the devices is performed by the proposed method. The log file and feedback table is the major concern which is stored in the authorization centre of the IoT system. These file consists of behaviour and performance among the IoT devices. Then, data importance is also included for the proposed authorization scheme based on the data size. Thus, the data importance and feedback based adaptive level of authorization is performed significantly. Finally, the simulation results of the proposed method are validated using DPWSim implementation. Then, the verification phase is analysed against the various security issues and attack analysis is compared with the existing systems. Thus, the proposed adaptive level of authorization enhances the security level for the Internet of Things.