Secure and Efficient Edge Computing Framework For IoT
Zaineb Naaz, Gamini Joshi, Vidushi Sharma · 2023
Edge computing is considered a key enabling technology that enhances the Internet of Things (IoT) by processing data at the network's edge. It optimizes real-time data processing and reduces network congestion in IoT applications. One of the applications of edge computing in IoT is privacy-preserving data aggregation; many such techniques have been presented in the past. However, efficiency and security are still challenging in the edge computing framework for resource-constrained IoT nodes. We propose a secure and efficient edge computing framework for IoT to address this issue by utilizing encryption technique, digital signature, and data aggregation mechanisms. The proposed Framework ensures data confidentiality and authenticity and improves the efficiency of the IoT network. We have demonstrated the significance of our system model by simulation, where a comparison has been brought about. The simulation analysis demonstrates that our proposed Framework is efficient in terms of computational cost and energy consumption, and it can reduce energy consumption by up to 38% compared to an IoT network without edge computation.