Secure mobile crowdsensing based on deep learning
Sign Up to like & getrecommendations! Published in 2018 at "China Communications"
DOI: 10.1109/cc.2018.8485464
Abstract: To improve the quality of multimedia services and stimulate secure sensing in Internet of Things applications, such as healthcare and traffic monitoring, mobile crowdsensing (MCS) systems must address security threats such as jamming, spoofing and… read more here.
Keywords: deep learning; secure mobile; mobile crowdsensing; crowdsensing based ... See more keywords
Offloading Optimization for Low-Latency Secure Mobile Edge Computing Systems
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DOI: 10.1109/lwc.2019.2959579
Abstract: This letter proposes a low-latency secure mobile edge computing (MEC) system where multiple users offload computing tasks to a base station in the presence of an eavesdropper. We jointly optimize the users’ transmit power, computing… read more here.
Keywords: low latency; secure mobile; edge computing; mobile edge ... See more keywords
Secure Mobile Edge Computing Networks in the Presence of Multiple Eavesdroppers
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DOI: 10.1109/tcomm.2021.3119075
Abstract: 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 the computational access point (CAP). The multiple… read more here.
Keywords: mobile edge; secure mobile; presence multiple; edge computing ... See more keywords