Visible to the public Privacy-Preserving Mobile Video Sharing using Fully Homomorphic Encryption

TitlePrivacy-Preserving Mobile Video Sharing using Fully Homomorphic Encryption
Publication TypeConference Paper
Year of Publication2020
AuthorsGoswami, U., Wang, K., Nguyen, G., Lagesse, B.
Conference Name2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Date PublishedMarch 2020
PublisherIEEE
ISBN Number978-1-7281-4716-1
Keywordsandroid encryption, Cameras, Conferences, cryptography, data privacy, Encryption, fully homomorphic encryption scheme, Human Behavior, Metrics, mobile cameras, mobile computing, modern mobile devices, privacy-preserving method, privacy-preserving mobile video sharing, pubcrawl, resilience, Resiliency, Scalability, smart phones, Software, times people, video sharing software
Abstract

Increased availability of mobile cameras has led to more opportunities for people to record videos of significantly more of their lives. Many times people want to share these videos, but only to certain people who were co-present. Since the videos may be of a large event where the attendees are not necessarily known, we need a method for proving co-presence without revealing information before co-presence is proven. In this demonstration, we present a privacy-preserving method for comparing the similarity of two videos without revealing the contents of either video. This technique leverages the Similarity of Simultaneous Observation technique for detecting hidden webcams and modifies the existing algorithms so that they are computationally feasible to run under fully homomorphic encryption scheme on modern mobile devices. The demonstration will consist of a variety of devices preloaded with our software. We will demonstrate the video sharing software performing comparisons in real time. We will also make the software available to Android devices via a QR code so that participants can record and exchange their own videos.

URLhttps://ieeexplore.ieee.org/document/9156217
DOI10.1109/PerComWorkshops48775.2020.9156217
Citation Keygoswami_privacy-preserving_2020