Hanaa Alshareef, Computer Science and Engineering
A Collaborative Access Control Framework for Online Social Networks
Online social networks (OSNs) are one of the most popular web-based
services for people to communicate and share information with each other.
With all their benets, OSNs might raise serious problems in what concerns
users’ privacy. One privacy risk is caused by accessing and sharing co-owned
data items, i.e., when a user posts a data item that involves other users, some
users’ privacy may be disclosed, since users generally have dierent privacy
preferences regarding who can access and share their data. Another risk is
caused by the privacy settings oered by OSNs that do not, in general, allow
ne-grained enforcement, especially in cases where posted data items
concern other users.
We discuss and give examples of these issues, in order
to illustrate their impacts on current OSNs’ privacy protection mechanisms.
We propose a collaborative access control framework to deal with such privacy
issues. Basically, in our framework, the decision whether a user can
access or share a co-owned data item is based on the aggregated opinion of
all users involved. Our solution is based on the sensitivity level of users with
respect to the concerned data item, the trust among users, the types of controllers
(those who are concerned in making the collaborative decision) and
the types of accessors (those who are identied to access a given data item
or not). In order to observe how varying some of the parameters mentioned
above inuence the outcome of the permitting/denying decision of the proposed
solution, we provide an evaluation of our framework. We also present
a proof-of-concept implementation of our approach in the open source OSN
Hanaa Alshareef belongs to the Formal Methods division of Computer Science and Engineering.
Associate professor Barbara Carminati, University of Insubria, Italy.
EA, lecture hall, Hörsalsvägen 11, EDIT trappa C, D och H
13 June, 2019, 13:30
13 June, 2019, 14:30