Public Video Surveillance: Using the Fog to Increase Privacy
| Title | Public Video Surveillance: Using the Fog to Increase Privacy |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Grambow, Martin, Hasenburg, Jonathan, Bermbach, David |
| Conference Name | Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-6118-7 |
| Keywords | edge computing, face recognition, Fog Computing, Human Behavior, Metrics, pubcrawl, Public Video Surveillance, Resiliency, video surveillance |
| Abstract | In public video surveillance, there is an inherent conflict between public safety goals and privacy needs of citizens. Generally, societies tend to decide on middleground solutions that sacrifice neither safety nor privacy goals completely. In this paper, we propose an alternative to existing approaches that rely on cloud-based video analysis. Our approach leverages the inherent geo-distribution of fog computing to preserve privacy of citizens while still supporting camera-based digital manhunts of law enforcement agencies. |
| URL | https://dl.acm.org/citation.cfm?doid=3286719.3286722 |
| DOI | 10.1145/3286719.3286722 |
| Citation Key | grambowPublicVideoSurveillance2018 |