TY - JOUR
T1 - Collateral damage of facebook apps
T2 - Friends, providers, and privacy interdependence
AU - Symeonidis, Iraklis
AU - Shirazi, Fatemeh
AU - Biczók, Gergely
AU - Pérez-Solà, Cristina
AU - Preneel, Bart
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2016.
PY - 2016
Y1 - 2016
N2 - Third-party apps enable a personalized experience on social networking platforms; however, they give rise to privacy interdependence issues. Apps installed by a user’s friends can collect and potentially misuse her personal data inflicting collateral damage on the user while leaving her without proper means of control. In this paper, we present a multi-faceted study on the collateral information collection of apps in social networks. We conduct a user survey and show that Facebook users are concerned about this issue and the lack of mechanisms to control it. Based on real data, we compute the likelihood of collateral information collection affecting users; we show that the probability is significant and depends on both the friendship network and the popularity of the app. We also show its significance by computing the proportion of exposed user attributes including the case of profiling, when several apps are offered by the same provider. Finally, we propose a privacy dashboard concept enabling users to control the collateral damage.
AB - Third-party apps enable a personalized experience on social networking platforms; however, they give rise to privacy interdependence issues. Apps installed by a user’s friends can collect and potentially misuse her personal data inflicting collateral damage on the user while leaving her without proper means of control. In this paper, we present a multi-faceted study on the collateral information collection of apps in social networks. We conduct a user survey and show that Facebook users are concerned about this issue and the lack of mechanisms to control it. Based on real data, we compute the likelihood of collateral information collection affecting users; we show that the probability is significant and depends on both the friendship network and the popularity of the app. We also show its significance by computing the proportion of exposed user attributes including the case of profiling, when several apps are offered by the same provider. Finally, we propose a privacy dashboard concept enabling users to control the collateral damage.
UR - http://www.scopus.com/inward/record.url?scp=84969931564&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-33630-5_14
DO - 10.1007/978-3-319-33630-5_14
M3 - Article
AN - SCOPUS:84969931564
SN - 1868-4238
VL - 471
SP - 194
EP - 208
JO - IFIP Advances in Information and Communication Technology
JF - IFIP Advances in Information and Communication Technology
ER -