Interdependent Privacy: Let Me Share Your Data

Biczók, Gergely; Chia, Pern Hui

doi:10.1007/978-3-642-39884-1_29

Cited by 60 publications

(69 citation statements)

References 13 publications

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“…Similarly, Huber et al developed an automatic evaluation tool, AppInspect (Huber et al, 2013), and demonstrated security and privacy leakages of a large set of Facebook Apps. Furthermore, Biczók and Chia (Biczók and Chia, 2013) described the issue of users' information leaked through their friends via Apps on Facebook. This work introduced a game theoretic approach to simulate an interdependent privacy scenario of two users and one App game.…”

Section: Related Workmentioning

confidence: 99%

“…This work introduced a game theoretic approach to simulate an interdependent privacy scenario of two users and one App game. Extending the work of Biczók and Chia (Biczók and Chia, 2013) Pu and Grossklags (Pu and Grossklags, 2014) proposed a formula to estimate the payoffs. Finally, Frank et al (Frank et al, 2012) showed the existence of malicious Apps that deviate from the generic permissions pattern acquiring more information from the users, while Chia et al (Chia et al, 2012) showed that certain Apps collect more information than necessary.…”

Section: Related Workmentioning

confidence: 99%

“…There exists a considerable amount of related work regarding the user's privacy in OSNs, including work that investigates installed Apps (Biczók and Chia, 2013;Chaabane et al, 2012;Chia et al, 2012;Huber et al, 2013). However, there is no prior work analyzing the case where a set of AppPs collects the user's personal data via the Apps installed by the user's friends.…”

Section: Introductionmentioning

confidence: 99%

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Collateral Damage of Online Social Network Applications

Symeonidis

Tsormpatzoudi

Preneel

2016

Proceedings of the 2nd International Conference on Information Systems Security and Privacy

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Abstract:Third party application providers in Online Social Networks can collect personal data of users through their friends without the user's awareness. In some cases, one or more application providers may own several applications and thus the same provider may collect an excessive amount of personal data, which creates a serious privacy risk. Previous research has developed methods to quantify privacy risks in Online Social Networks. However, most of the existing work does not focus on the issues of personal data disclosure via the user's friends applications and application providers. The aim of this paper is to investigate the need for solutions that can compute privacy risk related to applications and application providers. In this work we perform a legal and technical analysis of the privacy threats stemming from the collection of personal data by third parties when applications are installed by the user's friends. Particularly, we examine the case of Facebook as it is the most popular Online Social Network nowadays.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Collateral Damage of Online Social Network Applications

Symeonidis

Tsormpatzoudi

Preneel

2016

Proceedings of the 2nd International Conference on Information Systems Security and Privacy

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“…As a result, the user's profile items can be arbitrarily retrieved by an appP without automatic notification or on-demand approval by the user through friends. Since the privacy of an individual user is affected by the decisions of other users (being partly out of their control), this phenomenon is referred to as privacy interdependence [6]. From an economic point of view, sharing a user's information without her direct consent can lead to the emergence of externalities.…”

Section: Introductionmentioning

confidence: 99%

“…While sharing someone else's information may yield benefits for her (positive externality, e.g., personalized experience in social apps), it is also almost certain to cause a decrease in her utility (negative externality, e.g., exposed profile items). Existing research is limited to pointing out the existence of and risks stemming from such negative externalities in the Facebook app ecosystem [6], and its potential impact on app adoption [16,17].…”

Section: Introductionmentioning

confidence: 99%

Collateral Damage of Facebook Apps: Friends, Providers, and Privacy Interdependence

Symeonidis

Shirazi

Biczók

et al. 2016

ICT Systems Security and Privacy Protection

Self Cite

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Abstract. 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.

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GDPR and the Concept of Risk:

Demetzou

2019

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Interdependent Privacy: Let Me Share Your Data

Cited by 60 publications

References 13 publications

Collateral Damage of Online Social Network Applications

Collateral Damage of Online Social Network Applications

Collateral Damage of Facebook Apps: Friends, Providers, and Privacy Interdependence

GDPR and the Concept of Risk:

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