Building a Privacy-Preserving Smart Camera System

01/23/2022
by   Yohan Beugin, et al.
0

Millions of consumers depend on smart camera systems to remotely monitor their homes and businesses. However, the architecture and design of popular commercial systems require users to relinquish control of their data to untrusted third parties, such as service providers (e.g., the cloud). Third parties therefore can (and in some instances have) access the video footage without the users' knowledge or consent – violating the core tenet of user privacy. In this paper, we present CaCTUs, a privacy-preserving smart Camera system Controlled Totally by Users. CaCTUs returns control to the user; the root of trust begins with the user and is maintained through a series of cryptographic protocols, designed to support popular features, such as sharing, deleting, and viewing videos live. We show that the system can support live streaming with a latency of 2s at a frame rate of 10fps and a resolution of 480p. In so doing, we demonstrate that it is feasible to implement a performant smart-camera system that leverages the convenience of a cloud-based model while retaining the ability to control access to (private) data.

READ FULL TEXT

page 5

page 7

page 10

page 22

research
08/21/2022

Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices

Millions of consumers depend on smart camera systems to remotely monitor...
research
07/15/2020

Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy

Cloud computing has been a dominant paradigm for a variety of informatio...
research
11/17/2021

A Discussion and Comparative Study on Security and Privacy of Smart Meter Data

Cloud computing comes with a lot of advanced features along with privacy...
research
12/15/2021

Friendscope: Exploring In-the-Moment Experience Sharing on Camera Glasses via a Shared Camera

We introduce Friendscope, an instant, in-the-moment experience sharing s...
research
02/06/2021

Privacy-Preserving Video Classification with Convolutional Neural Networks

Many video classification applications require access to personal data, ...
research
09/24/2019

P2FAAS: Toward Privacy-Preserving Fuzzing as a Service

Global corporations (e.g., Google and Microsoft) have recently introduce...
research
11/06/2020

Amadeus: Scalable, Privacy-Preserving Live Video Analytics

Smart-city applications ranging from traffic management to public-safety...

Please sign up or login with your details

Forgot password? Click here to reset