Building a Secure and Privacy-Preserving Smart Camera System
Computer Science and Engineering
Master of Science
Date of Defense:
March 17, 2021
Patrick Drew Mcdaniel, Thesis Advisor/Co-Advisor Gang Tan, Committee Member Syed Rafiul Hussain, Committee Member Chitaranjan Das, Program Head/Chair
smart camera system privacy-preserving security secure and authenticated pairing key tree encryption
Smart camera systems have been a valuable addition to many homes by giving people peace of mind over the safety of their homes and adding convenience to everyday life. However, these smart camera systems gather very private and sensitive data, data which users do not have full control over. This lack of security and privacy in such camera systems allow third parties to have access to users' data, which can be exploited and shared without a user's informed consent.
In this thesis, we propose a truly user controlled smart camera system that has been designed with security and privacy-preserving features in mind. By handing back to the users full control of the smart camera system, they are the ones who control their privacy and do not need to rely on any third party to do so. The evaluation of this system shows that it is possible to achieve the same features and usability of commercially available smart camera systems while preserving users' privacy.