Open AccessDeep PDS-Learning for Privacy-Aware Offloading in MEC-Enabled IoT
Author(s) -
Xiaofan He,
Richeng Jin,
Huaiyu Dai
Publication year - 2018
Publication title -
ieee internet of things journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.075
H-Index - 97
eISSN - 2372-2541
pISSN - 2327-4662
DOI - 10.1109/jiot.2018.2878718
Subject(s) - computer science , cloud computing , correctness , mobile edge computing , deep learning , internet of things , focus (optics) , edge computing , computer network , information privacy , vulnerability (computing) , mobile device , distributed computing , computer security , server , artificial intelligence , algorithm , world wide web , physics , optics , operating system
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 infrastructure. To overcome this issue, the recently advocated mobile-edge computing (MEC)-enabled IoT is promising. Meanwhile, driven by the growing social awareness of privacy, significant research efforts have been devoted to ...
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