One click privacy for online social networks
- We present an approach to reduce the complexity of adjusting privacy preferences for multiple online social networks. To achieve this, we quantify the effect on privacy for choices that users make, and simplify configuration by introducing privacy configuration as a service. We present an algorithm that effectively measures privacy and adjusts privacy settings across social networks. The aim is to configure privacy with one click.
| Author: | Philipp Hehnle, Pascal Keilbach, Hyun-Jin LeeORCiD, Sabrina Lejn, Daniel Steidinger, Marina Weinbrenner, Hanno LangwegORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-319-66284-8_37 |
| ISBN: | 978-3-319-66284-8 |
| Parent Title (English): | Computer Safety, Reliability, and Security : SAFECOMP 2017 Workshops, ASSURE, DECSoS, SASSUR, TELERISE, and TIPS, Trento, Italy, September 12, 2017, Proceedings |
| Publisher: | Springer |
| Place of publication: | Cham |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2017 |
| Release Date: | 2019/08/02 |
| Tag: | Privacy; Social networks; Metrics for privacy; Configuration |
| First Page: | 435 |
| Last Page: | 442 |
| Open Access?: | Nein |
| Licence (German): |  Urheberrechtlich geschützt |
