A systematic approach towards user-centric privacy and security for smart camera networks
Thomas Winkler, Bernhard Rinner · 2010
The majority of research in the field of camera networks is targeted at distributed and cooperative processing, advanced computer vision algorithms or the development of embedded, ubiquitous camera systems. Privacy and security are topics that are often overlooked or considered as an afterthought. With the digitalization of visual surveillance, data can easily be stored and accessed. This raises the question how confidential data can be protected, authenticity and integrity can be ensured and access can be restricted. This work discusses security and privacy issues relevant in the context of visual surveillance and camera networks. We try to capture the state of the art on these aspects in the available literature and highlight areas that require special consideration. We present a concept of a privacy-preserving camera system based on Trusted Computing. In our system-level approach, we consider privacy and security as primary goals without limiting the overall usefulness of a camera system.