Privacy protection for internet of drones: A network coding approach

Yu Jia Chen, Li-Chun Wang

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

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.

Original languageEnglish
Article number8486625
Pages (from-to)1719-1730
Number of pages12
JournalIEEE Internet of Things Journal
Volume6
Issue number2
DOIs
StatePublished - 1 Apr 2019

Keywords

  • Internet of Drones (IoD)
  • network coding
  • privacy protection

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