Analysis of Using Blockchain to Protect the Privacy of Drone Big Data
Zhihan Lv, Liang Qiao, M. Shamim Hossain, Bong Jun Choi
Abstract
In order to solve the problem of privacy protection of unmanned aerial vehicle (UAV) big data, it is necessary to design a privacy protection scheme that guarantees safe sharing of UAV big data. In this work, blockchain technology is adopted to solve the privacy protection problem of UAV big data. In particular, the proposed privacy protection scheme uses a number theory research unit cryptosystem for encryption of blockchain data. Privacy analysis is provided to validate the security requirements. The performance evaluation results show that the proposed UAV big data privacy protection scheme based on blockchain technology has low computing cost in terms of key production, encryption, and decryption. It also outperforms the conventional approaches. This work aims to provide a guideline for future research on the privacy protection of UAV data.