Optimal Resource Allocation and Security-Aware Task Offloading in MEC Networks

As a promising computing paradigm, Mobile Edge Computing (MEC) can address the computational limitations of mobile devices (MDs) through offloading their tasks to edge servers nearby them. However, this approach also introduces security challenges that must be addressed to such that data privacy can be ensured. In this paper, we present an optimal resource allocation framework for security-aware task offloading in MEC networks, aiming to improve computational efficiency, minimize computation overhead, and introduce robust security measures. We propose a comprehensive model that incorporates communication resources and security technique to safeguard tasks’ data.