Privacy Protection for Internet of Drones: A Network Coding Approach

This paper proposes an enhanced secure pseudonym scheme to protect the privacy of cloud data in Internet of Drones (IoD). Nowadays, drones equipped with cameras can provide surveillance and aerial photography applications. Unlike the video devices, personal drones with high mobility can track and fo...

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Veröffentlicht in:IEEE internet of things journal Jg. 6; H. 2; S. 1719 - 1730
Hauptverfasser: Chen, Yu-Jia, Wang, Li-Chun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.04.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Aerial photography
Cloud computing
Coding
Cryptography
Cybersecurity
Data privacy
Drone aircraft
Drones
Energy consumption
Internet
Internet of Drones (IoD)
Network coding
Privacy
privacy protection
Security
Surveillance
ISSN:2327-4662, 2327-4662
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Zusammenfassung:This paper proposes an enhanced secure pseudonym scheme to protect the privacy of cloud data in Internet of Drones (IoD). Nowadays, drones equipped with cameras can provide surveillance and aerial photography applications. Unlike the video devices, personal drones with high mobility can track and follow an individual, causing both the identity and location privacy issues. However, IoD devices cannot implement complex cryptographic schemes because of limited computing power. To this end, we develop a secure light-weight network coding pseudonym scheme. Our designed two-tier network coding can decouple the stored IoD cloud data from the owner's pseudonyms. Therefore, our proposed network coding-based pseudonym scheme can simultaneously defend against both outside and inside attackers. We implement our proposed two-tier light-weight network coding mechanism when facing untrusted cloud database. Compared to the computationally secure hash-based pseudonym scheme, our proposed scheme achieves the highest unconditional security level, but also can reduce more than 90% of processing time as well as 10% of energy consumption.
Bibliographie:ObjectType-Article-1
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ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2018.2875065