This paper studies a secure mobile edge computing (MEC) for emerging cyber physical
systems (CPS), where there exist K eavesdroppers in the network, which can threaten the …

In this paper, we investigate an intelligent reflecting surface (IRS)-assisted mobile edge
computing (MEC) network under physical-layer security, where users can partially offload …

In this paper, we investigate a secure mobile edge computing (MEC) network in the
presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to …

Computational task offloading at the mobile edge servers is a promising strategy to reduce
latency and energy consumption in 5G wireless networks. In this paper, we study the …

Mobile edge computing (MEC) has been regarded as a promising paradigm to support the
compute-intensive and delay-sensitive industrial Internet of things (IIoT) applications …

Mobile edge computing (MEC), which enables smart terminals to actively offload
computation workloads to computational servers deployed at the edge of networks, has …

This letter considers a mobile edge computing system with one access point (AP) serving
multiple users over a multicarrier channel, in the presence of a malicious eavesdropper. In …

The wireless offloading feature of the recently advocated mobile-edge computing (MEC)
imposes a risk of disclosing private user data to eavesdroppers. Physical-layer security …

Mobile edge computing (MEC) has been envisioned as a promising approach for enabling
the computation-intensive yet latency-sensitive mobile Internet services in future wireless …

In this paper, we investigate a distributed machine learning approach for a multiuser mobile
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …