| Title |
Privacy-preserving Measures in Smart City Video Surveillance Systems |
| ID_Doc |
45453 |
| Authors |
Sultan, S; Jensen, CD |
| Title |
Privacy-preserving Measures in Smart City Video Surveillance Systems |
| Year |
2020 |
| Published |
|
| DOI |
10.5220/0008964205060514 |
| Abstract |
Smart city video surveillance systems collect data from all around the city, and this aggregated data is used by several entities for achieving different city administrative tasks such as ensuring public safety and traffic management, to provide citizens with better services. This data, when combined with other smart city data sources, can reveal sensitive information about individuals, which if not used carefully can spawn grave privacy breach. In order to extract useful information from surveillance data without causing privacy invasion, it is important to see how, where and what information is collected about individuals, and how it is further used for said purposes. |
| Author Keywords |
Mass-scale Video Surveillance Systems; Smart City; Privacy; Information Security |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000570766300053 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
https://doi.org/10.5220/0008964205060514
|