Security in mobile edge caching with reinforcement learning

L Xiao, X Wan, C Dai, X Du, X Chen… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Mobile edge computing usually uses caching to support multimedia contents in 5G mobile
Internet to reduce the computing overhead and latency. Mobile edge caching (MEC) …

Security and privacy for mobile edge caching: Challenges and solutions

J Ni, K Zhang, AV Vasilakos - IEEE Wireless Communications, 2020 - ieeexplore.ieee.org
Mobile edge caching is a promising technology for next-generation mobile networks to
effectively offer service environments and cloud-storage capabilities at the edge of networks …

A dynamic edge caching framework for mobile 5G networks

DT Hoang, D Niyato, DN Nguyen… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Mobile edge caching has emerged as a new paradigm to provide computing, networking
resources, and storage for a variety of mobile applications. That helps achieve low latency …

Game theory and reinforcement learning based secure edge caching in mobile social networks

Q Xu, Z Su, R Lu - IEEE Transactions on Information Forensics …, 2020 - ieeexplore.ieee.org
Edge caching has become one of promising technologies in mobile social networks (MSNs)
to proximally provide popular contents for mobile users. However, since caching contents …

AccConF: An access control framework for leveraging in-network cached data in the ICN-enabled wireless edge

S Misra, R Tourani, F Natividad, T Mick… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
The fast-growing Internet traffic is increasingly becoming content-based and driven by
mobile users, with users more interested in data rather than its source. This has precipitated …

Deep reinforcement learning for mobile edge caching: Review, new features, and open issues

H Zhu, Y Cao, W Wang, T Jiang, S Jin - IEEE Network, 2018 - ieeexplore.ieee.org
Mobile edge caching is a promising technique to reduce network traffic and improve the
quality of experience of mobile users. However, mobile edge caching is a challenging …

Reinforcement learning-based mobile offloading for edge computing against jamming and interference

L Xiao, X Lu, T Xu, X Wan, W Ji… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing systems help improve the performance of computational-intensive
applications on mobile devices and have to resist jamming attacks and heavy interference …

Edge caching in blockchain empowered 6G

W Sun, S Li, Y Zhang - China Communications, 2021 - ieeexplore.ieee.org
The sixth generation (6G) of wireless cellular networks is expected to incorporate the latest
developments in network infrastructure and emerging advances in technology. In the age of …

Green and secure computation offloading for cache-enabled IoT networks

MIA Zahed, I Ahmad, D Habibi, QV Phung - IEEE Access, 2020 - ieeexplore.ieee.org
The ever-increasing number of diverse and computation-intensive Internet of things (IoT)
applications is bringing phenomenal growth in global Internet traffic. Mobile devices with …

DeepMEC: Mobile edge caching using deep learning

K Thar, NH Tran, TZ Oo, CS Hong - IEEE Access, 2018 - ieeexplore.ieee.org
Caching popular contents at edge nodes such as base stations is a crucial solution for
improving users' quality of services in next-generation networks. However, it is very …