Stage-oe-small.jpg

Neuigkeit187

Aus Aifbportal
Version vom 13. Juli 2020, 09:40 Uhr von Ig6346 (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Neuigkeit |Titel DE=cii Forschungsgruppe auf der Jahreskonferenz „Forum Privatheit“ 2020 |Titel EN=cii Research Group at conference "Forum Privatheit" 20…“)
(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Wechseln zu:Navigation, Suche
Neuigkeit vom 13. Juli 2020


cii Forschungsgruppe auf der Jahreskonferenz „Forum Privatheit“ 2020


Auf der Jahreskonferenz „Forum Privatheit“ 2020, die vom 12.-13. November virtuell stattfindet, wurden zwei Beiträge der cii Forschungruppe angenommen.


Titel: What Users Really Want to Know from Privacy Notices: A Comparison of Approaches for Personalized Privacy Information Provision.

Autoren:Mandy Goram, Dirk Veiel, Tobias Dehling, Ali Sunyaev

Abstract: Nowadays, sophisticated techniques have been developed to determine users’ behavioral tendencies and to find and display content suitable to users. Companies collect huge amounts of information about users in order to better identify content and respond to user contexts. How and for what purposes the information is collected is, however, often not made transparent to users. When providing privacy information, personalization of the content and users privacy needs play apparently not a significant role for providers. Our research focuses on personalized privacy information provision to reduce asymmetries in knowledge and power between providers and users and to enable users to proactively participate in the retrieval of privacy information. Based on a literature review, we developed a formal model that enables us to formalize user privacy preferences, user-based privacy information provision, and information about privacy practices. We identified promising approaches for personalized privacy information provision that are orthogonal to each other and suitable for detection of user privacy preferences based on implicit or explicit feedback. We show what approach works best for personalized privacy information provision and what approaches perform worse through a comparison of the three selected and prototypically implemented approaches.

Der Extended Abstract zur Einreichung findet sich auf ResearchGate.


Titel: Let the Computer Say NO! The Neglected Potential of Policy Definition Languages for Data Sovereignty.

Autoren: Jan Bartsch, Tobias Dehling, Florian Lauf, Sven Meister, Ali Sunyaev

Abstract: When using today's internet services and platform ecosystems, data of consumers is often harvested and shared without their consent; that is, consumers seized to be sovereigns of their own data. Due to the rapid and abundant nature of interactions in today's platform ecosystems, manual consent management is impracticable. To support development of semi-automated solutions for this problem, we investigated the use of policy definition languages as machine-readable and enforceable mechanism to re-establish data sovereignty for consumers. Based on an expert literature review, we develop a framework of the chances and challenges of leveraging policy definition languages as central building blocks for data sovereignty in platform ecosystems.

Der Extended Abstract zur Einreichung findet sich auf ResearchGate.



Aus der Forschungsgruppe Critical Information Infrastructures