2019
DOI: 10.1109/jiot.2018.2875065
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Privacy Protection for Internet of Drones: A Network Coding Approach

Abstract: Taking into account of both the huge computing power of intruders and the untrustedness of cloud servers, we develop an enhanced secure pseudonym scheme to protect the privacy of mobile cloud data. To face the huge computing power challenge, we develop an unconditionally secure light-weight network coding pseudonym scheme. For the privacy issue of untrusted cloud server, we further design a two-tier network coding to decouple the stored mobile cloud data from the owner's pseudonyms. Therefore, our proposed net… Show more

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Cited by 57 publications
(26 citation statements)
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“…To hide the wireless transmission between UAVs, the authors jointly optimized the UAV transmit power and flight trajectory. The authors in [16] proposed a privacy protection scheme for location data in the Internet of drones. In [17], a machine learning based attack in UAV-based wireless networks was investigated.…”
Section: B Cellular-enabled Uav Communicationsmentioning
confidence: 99%
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“…To hide the wireless transmission between UAVs, the authors jointly optimized the UAV transmit power and flight trajectory. The authors in [16] proposed a privacy protection scheme for location data in the Internet of drones. In [17], a machine learning based attack in UAV-based wireless networks was investigated.…”
Section: B Cellular-enabled Uav Communicationsmentioning
confidence: 99%
“…2, where the connectivity areas covered by GBSs are represented by circles. In the next section, we will demonstrate the NP-hardness of problem (16).…”
Section: Problem Formulationmentioning
confidence: 99%
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