Name
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.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3267955.3269007 | conference on information centric networking |
Keywords | Field | DocType |
Information Centric Networking, Access control, Privacy, Monitoring | Authentication,Cloud systems,Computer science,Computer network,Content centric,Information-centric networking,Access control,Private information retrieval,Privacy model,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-5959-7 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kalika Suksomboon | 1 | 26 | 5.55 |
| Kazuaki Ueda | 2 | 0 | 0.34 |
| Atsushi Tagami | 3 | 69 | 25.29 |