KIT | KIT-Bibliothek | Impressum | Datenschutz
Open Access Logo
§
Postprint
DOI: 10.5445/IR/1000083574
Frei zugänglich ab 10.04.2019

Helping John to Make Informed Decisions on Using Social Login

Karegar, Farzaneh; Gerber, Nina; Volkamer, Melanie; Fischer-Hübner, Simone

Abstract:
Users make two privacy-related decisions when signing up for a new Service Provider (SP): (1) whether to use an existing Single Sign-On (SSO) account of an Identity Provider (IdP), or not, and (2) the information the IdP is allowed to share with the SP under specific conditions. From a privacy point of view, the use of existing social network-based SSO solutions (i.e. social login) is not recommended. This advice, however, comes at the expense of security, usability, and functionality. Thus, in principle, it should be up to the user to consider all advantages and disadvantages of using SSO and to consent to requested permissions, provided that she is well informed. Another issue is that existing social login sign-up interfaces are often not compliant with legal privacy requirements for informed consent and Privacy by Default. Accordingly, our research focuses on enabling informed decisions and consent in this context. To this end, we identified users’ problems and usability issues from the literature and an expert cognitive walkthrough.We also elicited end user and legal privacy requirements for user interfaces (UIs) providing info ... mehr


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Jahr 2018
Sprache Englisch
Identifikator ISBN: 978-1-4503-5191-1
URN: urn:nbn:de:swb:90-835743
KITopen ID: 1000083574
Erschienen in Proceedings of the 33th Symposium on Applied Computing (SAC 2018), Pau, F, April 9-13, 2018
Verlag ACM, New York, NY
Schlagworte Informed Decision, Usable Privacy, Privacy by Design, GDPR, Single Sign-on
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft KITopen Landing Page