Mobility Enabled Security for Optimizing IoT based Intelligent Applications

The critical challenges for IoT-based intelligent applications for the adaptive environment are effective resource allocation, secure data transmission, and mobility management. It is highly significant that these mandatory requirements be considered in the overall IoT-enabled smart networks. In this research, we initially propose the resource allocation model for IoT-based systems by adopting the security, energy drain, and cost factors. Furthermore, MMSA, incorporating security with mobility, is developed. The experimental analysis demonstrates that the proposed MMSA outperforms conventional techniques in terms of mobility management, delay, security, and criticality factors with optimal resource allocation. The findings of this research demonstrate that the security level, energy optimization, and reliability for the proposed MMSA, traditional, and baseline methods are (15 percent, 13 percent, 11 percent), (20mJ, 14mJ, and 9.5mJ), and (9.78 percent, 6.8 percent, and 5.6 percent), respectively. Consequently, it can be concluded that the proposed approach can be widely used for intelligent IoT systems because it delivers better reliability and mobility-enabled security than its counterparts.