| Item Type |
Book Section
|
| Abstract |
Surveillance in private and public spaces provides
observers with information that can enhance protection and
efficiency but usually infringes upon the privacy of the individuals
and groups. These informational privacy risks are centered
on users’ perceived and design-induced threats. They cannot
be removed completely but can be minimized using suitable
anonymization techniques. To minimize the users’ informational
privacy threats, we designed a privacy-aware surveillance system
that gives the users leverage over the anonymization filters, to
physically adjust the opaqueness of the camera lens used in the
prototype according to their privacy requirements. We implement
our prototype in the context of office space surveillance, where
the proposed solution considers privacy requirements in such
environments to improve users’ trust in the surveillance system
and reduce their privacy concerns. |
| Authors |
Jha, Sanjiv; Mayer, Simon & Schneider, Tanja |
| Language |
English |
| Subjects |
computer science
social sciences |
| Refereed |
Yes |
| Date |
9 February 2021 |
| Publisher |
IEEE |
| Place of Publication |
Guangzhou, China |
| Number of Pages |
6 |
| Title of Book |
Security and Privacy in Computing and Communications |
| Event Title |
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) |
| Event Location |
Guangzhou, China |
| Event Dates |
29 Dec.-1 Jan. 2021 |
| ISSN |
2324-898X |
| ISSN-Digital |
2324-9013 |
| ISBN |
978-0-7381-4381-1 |
| Publisher DOI |
https://doi.org/10.1109/TrustCom50675.2020.00172 |
| Official URL |
https://ieeexplore.ieee.org/document/9343108 |
| Contact Email Address |
sanjiv.jha@unisg.ch |
| Depositing User |
Sanjiv Jha
|
| Date Deposited |
05 Feb 2021 16:51 |
| Last Modified |
20 Jul 2022 17:44 |
| URI: |
https://www.alexandria.unisg.ch/publications/262277 |
Explicitly Privacy-Aware Space Usage Analysis
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