Effective Adaptable Framework for Security of IoT Devices

The Internet of Things (IoT) becomes the most demanding technology over the past few years. IoT is the basic need of daily life. The security of these devices is very important because they contain large files of sensitive data, the exposure of these devices can be fatal. To ensure the security of different types of IoT devices, we have designed a problem for optimization of weights in this work. The operational goal of this work is to protect different IoT devices alogwith determining a balance between resource and device usage. This framework includes resources and transfers the requirements of heterogeneous IoT devices and modifies different image and implementations using Hungarian algorithm. To attain the objective, five different ways are described to solve the Advanced Encryption Standard (AES). Extensive testing is done to find the best trade with different stocks and weights. The proposed framework is also compared to random greedy methods. The benchmark results show that the proposed system has been modified to secure the system based on IoT while offering better performance and results. Compared to the random method, the proposed method yielded an average of 3% and 13% improvement and in 11% and 17% greedy approach and resource utilization.