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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.

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Author:Philipp Hehnle, Pascal Keilbach, Hyun-Jin LeeORCiD, Sabrina Lejn, Daniel Steidinger, Marina Weinbrenner, Hanno LangwegORCiDGND
Parent Title (English):Computer Safety, Reliability, and Security : SAFECOMP 2017 Workshops, ASSURE, DECSoS, SASSUR, TELERISE, and TIPS, Trento, Italy, September 12, 2017, Proceedings
Place of publication:Cham
Document Type:Conference Proceeding
Year of Publication:2017
Release Date:2019/08/02
Tag:Privacy; Social networks; Metrics for privacy; Configuration
First Page:435
Last Page:442
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)
Open Access?:Nein
Licence (English):License LogoLizenzbedingungen Springer