Towards online privacy-preserving computation offloading in mobile edge computing
Mobile Edge Computing (MEC) is a new paradigm where mobile users can offload
computation tasks to the nearby MEC server to reduce their resource consumption. Some …
computation tasks to the nearby MEC server to reduce their resource consumption. Some …
Deep reinforcement learning-based joint optimization of delay and privacy in multiple-user MEC systems
Multi-access Edge Computing (MEC) enables mobile users to run various delay-sensitive
applications via offloading computation tasks to MEC servers. However, the location privacy …
applications via offloading computation tasks to MEC servers. However, the location privacy …
Location privacy-aware task offloading in mobile edge computing
In mobile edge computing (MEC), users can offload tasks to nearby MEC servers to reduce
computation cost. Considering that the size of offloaded tasks could disclose user location …
computation cost. Considering that the size of offloaded tasks could disclose user location …
Privacy-aware offloading in mobile-edge computing
Recently, mobile-edge computing (MEC) emerges as a promising paradigm to enable
computation intensive and delay-sensitive applications at resource limited mobile devices …
computation intensive and delay-sensitive applications at resource limited mobile devices …
Learning-based pricing for privacy-preserving job offloading in mobile edge computing
This paper considers a scenario in which an access point (AP) is equipped with a mobile
edge server (MEC) of finite computing power, and serves multiple resource-hungry mobile …
edge server (MEC) of finite computing power, and serves multiple resource-hungry mobile …
Peace: Privacy-preserving and cost-efficient task offloading for mobile-edge computing
The limited information processing capability and battery life of mobile devices is becoming
a bottleneck in delivering more advanced and high-quality services to the customers. To …
a bottleneck in delivering more advanced and high-quality services to the customers. To …
Survey on mobile edge-cloud computing: A taxonomy on computation offloading approaches
IA Elgendy, R Yadav - Security and Privacy Preserving for IoT and 5G …, 2022 - Springer
With the technological evolution of Internet of Things (IoT) devices and wireless
communications, a wide variety of new complex mobile applications and different services …
communications, a wide variety of new complex mobile applications and different services …
Deep PDS-learning for privacy-aware offloading in MEC-enabled IoT
The rapid uptake of Internet-of-Things (IoT) devices imposes an unprecedented pressure for
data communication and processing on the backbone network and the central cloud …
data communication and processing on the backbone network and the central cloud …
A survey of privacy-preserving offloading methods in mobile-edge computing
T Li, X He, S Jiang, J Liu - Journal of Network and Computer Applications, 2022 - Elsevier
By moving computing resources to the network logical edge, mobile edge computing is
promising for providing low-latency computing services to mobile users, and task offloading …
promising for providing low-latency computing services to mobile users, and task offloading …
Security and cost‐aware computation offloading via deep reinforcement learning in mobile edge computing
With the explosive growth of mobile applications, mobile devices need to be equipped with
abundant resources to process massive and complex mobile applications. However, mobile …
abundant resources to process massive and complex mobile applications. However, mobile …