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A Concept and Evaluation of Usable and Fine-Grained Privacy-Friendly Cookie Settings Interface

Kulyk, Oksana 1; Mayer, Peter ORCID iD icon 1; Käfer, Oliver 1; Volkamer, Melanie
1 Karlsruher Institut für Technologie (KIT)

Abstract:

As cookies are commonly used on websites, they can constitute a significant threat to user’s privacy by tracking surfing behaviour. The browsers provide a variety of options for cookie settings, thereby potentially enabling the user to execute some control over the extent of being tracked. However, studies show that the interfaces for these settings are often deemed too confusing or complex for lay users, often failing to provide necessary explanations, and therefore preventing the users from properly using these setting interfaces to protect themselves against tracking. In this paper, we present a concept for a privacy-friendly cookie setting interface that is meant to support the user in configuring their cookie settings. The setting interface in our concept (1) uses an assistant to guide the user towards their preferred cookie settings via a series of questions; and (2) enables the user to set their cookie settings manually, providing explanations for each of the options available to the user, including the potential advantages and disadvantages of each option. To gauge the viability of the proposal, the concept has been implemented as a Chrome extension and evaluated in a user study with 21 participants. ... mehr


Postprint §
DOI: 10.5445/IR/1000083587
Veröffentlicht am 07.09.2019
Originalveröffentlichung
DOI: 10.1109/TrustCom/BigDataSE.2018.00148
Scopus
Zitationen: 5
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2018
Sprache Englisch
Identifikator ISBN: 978-1-5386-4389-1
urn:nbn:de:swb:90-835874
KITopen-ID: 1000083587
Erschienen in The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom 2018), New York, NY, August 1-3, 2018
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1058-1063
Projektinformation GHOST (EU, H2020, 740923)
Vorab online veröffentlicht am 06.09.2018
Nachgewiesen in Scopus
Dimensions
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