| Title | Content-centric Privacy Model for Monitoring Services in Surveillance Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Suksomboon, Kalika, Ueda, Kazuaki, Tagami, Atsushi |
| Conference Name | Proceedings of the 5th ACM Conference on Information-Centric Networking |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5959-7 |
| Keywords | Access Control, information centric networking, Information Centric Networks, Monitoring, privacy, pubcrawl, Resiliency, Scalability |
| Abstract | This paper proposes a content-centric privacy (CCP) model that enables a privacy-preserving monitoring services in surveillance systems without cloud dependency. We design a simple yet powerful method that could not be obtained from a cloud-like system. The CCP model includes two key ideas: (1) the separation of the private data (i.e., target object images) from the public data (i.e., background images), and (2) the service authentication with the classification model. Deploying the CCP model over ICN enables the privacy central around the content itself rather than relying on a cloud system. Our preliminary analysis shows that the ICN-based CCP model can preserve privacy with respect to the W3 -privacy in which the private information of target object are decoupled from the queries and cameras. |
| URL | http://doi.acm.org/10.1145/3267955.3269007 |
| DOI | 10.1145/3267955.3269007 |
| Citation Key | suksomboon_content-centric_2018 |
Content-centric Privacy Model for Monitoring Services in Surveillance Systems