2 research outputs found
Privacy and temporal aware allocation of data in Decentralized Online Social Networks
Distributed Online Social Networks (DOSNs) have recently
been proposed to grant users more control over the data they share with
the other users. Indeed, in contrast to centralized Online Social Networks
(such as Facebook), DOSNs are not based on centralized storage services,
because the contents shared by the users are stored on the devices of the
users themselves. One of the main challenges in a DOSN comes from
guaranteeing availability of the users' contents when the data owner disconnects
from the network. In this paper, we focus our attention on data
availability by proposing a distributed allocation strategy which takes
into account both the privacy policies dened on the contents and the
availability patterns (online/oine) of the users in order to allocate their
contents on trusted nodes. A linear predictor is used to model and to predict
the availability status of the users in a future time interval, on the
basis of their past temporal behaviour. We conduct a set of experiments
on a set of traces taken from Facebook. The results prove the eectiveness
of our approach by showing high availability of users' proles