A collaborative access control framework for online social networks

• Most Online Social Networks allow users to set their privacy settings concerning posting information, but current implementations do not allow a fine grained enforcement in case the posted item concerns other users. In this paper we propose a new collaborative access control framework that takes into account the relation of multiple users for viewing as well as for sharing items, eventually solving conflicts in the privacy settings of the users involved. Our solution relies on two algorithms, one for viewing and another one for sharing items. We provide an evaluation of these algorithms where we demonstrate how varying some of the parameters directly influences the decision of viewing or sharing an item. Last but not least, we present a proof-of-concept implementation of our approach in an open source social network called Diaspora. (C) 2020 Elsevier Inc. All rights reserved.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Mediateknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Media Engineering (hsv//eng)

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)

SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (hsv//eng)

Keyword

Collaborative access control

Privacy

Social networks

privacy

policies

model

trust

Computer Science

Science & Technology - Other Topics

Collaborative access control

Publication and Content Type

ref (subject category)

art (subject category)