TY - JOUR
T1 - Security in Mobile Edge Caching with Reinforcement Learning
AU - Xiao, Liang
AU - Wan, Xiaoyue
AU - Dai, Canhuang
AU - Du, Xiaojiang
AU - Chen, Xiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - 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) systems are vulnerable to various attacks such as denial of service attacks and rogue edge attacks. This article investigates the attack models in MEC systems, focusing on both the mobile offloading and the caching procedures. In this article, we propose security solutions that apply reinforcement learning (RL) techniques to provide secure offloading to the edge nodes against jamming attacks. We also present lightweight authentication and secure collaborative caching schemes to protect data privacy. We evaluate the performance of the RL-based security solution for mobile edge caching and discuss the challenges that need to be addressed in the future.
AB - 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) systems are vulnerable to various attacks such as denial of service attacks and rogue edge attacks. This article investigates the attack models in MEC systems, focusing on both the mobile offloading and the caching procedures. In this article, we propose security solutions that apply reinforcement learning (RL) techniques to provide secure offloading to the edge nodes against jamming attacks. We also present lightweight authentication and secure collaborative caching schemes to protect data privacy. We evaluate the performance of the RL-based security solution for mobile edge caching and discuss the challenges that need to be addressed in the future.
UR - http://www.scopus.com/inward/record.url?scp=85049590674&partnerID=8YFLogxK
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U2 - 10.1109/MWC.2018.1700291
DO - 10.1109/MWC.2018.1700291
M3 - Article
AN - SCOPUS:85049590674
SN - 1536-1284
VL - 25
SP - 116
EP - 122
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 3
ER -