Paper Info
Title
Privacy-Preserving Control of Video Transmissions for Drone-based Intelligent Transportation Systems
Abstract
The drones are now frequently used for many smart city applications including intelligent transportation to provide situational awareness for drivers as well as other stakeholders that manage the traffic. In such situations one of the widely collected data is video that is recorded by a drone and streamed in real-time to a remote control center. The data can then be accessed through cloud services to do further analysis and take actions. However, this captured video may contain private information from the passing by citizens and allow recognition and tracking if it is intercepted by malicious users. While the video data can be stored as encrypted in the cloud, this still does not address the privacy problem as the third party providers still need to decrypt the data to perform any further processing. To address this issue, we propose using fully homomorphic encryption (FHE)which will not only provide confidentiality of the data but also enable processing on the encrypted video data by cloud providers and other third parties without exposing any privacy. However, since fully homomorphic systems have a lot of overhead, in this paper, we propose to conduct background extraction on video images and transmit only the changing foreground to minimize data transmission. As we use FHE, this allows reconstruction of the video at the server without decrypting the data. We tested the feasibility of the proposed approach extensively under various conditions including the type of FHE used, the underlying communication protocols and video size. The results indicate that our approach can even outperform AES-based method in terms of total time to complete the video transmission while additionally enabling privacy features.
Year
DOI
Venue
2019
10.1109/CNS.2019.8802665
2019 IEEE Conference on Communications and Network Security (CNS)
Keywords
Field
DocType
Drone,FHE,edge computing,privacy,video transmission
Edge computing,Homomorphic encryption,Situation awareness,Computer security,Computer science,Computer network,Encryption,Smart city,Intelligent transportation system,Communications protocol,Cloud computing
Conference
ISSN
ISBN
Citations 
2474-025X
978-1-5386-7118-4
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Kemal Akkaya12825178.70
Vashish Baboolal200.68
Nico Saputro38311.51
A. Selcuk Uluagac430334.95
Hamid Menouar518814.65