A centralized privacy-preserving framework for online social networks

Authors

Abstract:

There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their friends in an OSN. In this paper, we present a centralized privacy-preserving framework for OSNs to address these issues. Using the proposed approach, the users enforce confidentiality and access control on the shared data while their connections/relationships with other users are kept anonymous in OSNs. In this way, the users themselves create and modify personalized privacy settings for their shared data while employing each other's privacy settings. Detailed evaluations of the proposed framework show the advantages of the proposed architecture compared to the most analogous recent approach.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

A Novel, Privacy Preserving, Architecture for Online Social Networks

The centralized nature of conventional OSNs poses serious risks to the security and privacy of information exchanged between their members. These risks prompted several attempts to create decentralized OSNs, or DOSNs. The basic idea underlying these attempts, is that each member of a social network keeps its data under its own control, instead of surrendering it to a central host, providing acc...

full text

fRiendTrust: A Privacy Preserving Reputation System for Online Social Networks

Online social networks (OSNs) are currently very popular among Internet users, offering tools for sharing and submitting information, such as political opinions, photos and events. If users shares sensitive information with their online friends, those friends are in a position to collect, analyse and redistribute this information, which may result in a privacy issue. This would not be a problem...

full text

A privacy self-assessment framework for online social networks

During our digital social life, we share terabytes of information that can potentially reveal private facts and personality traits to unexpected strangers. Despite the research efforts aiming at providing efficient solutions for the anonymization of huge databases (including networked data), in online social networks the most powerful privacy protection “weapons” are the users themselves. Howev...

full text

A Privacy-Aware Framework for Decentralized Online Social Networks

Online social networks based on a single service provider suffer several drawbacks, first of all the privacy issues arising from the delegation of user data to a single entity. Distributed online social networks (DOSN) have been recently proposed as an alternative solution allowing users to keep control of their private data. However, the lack of a centralized entity introduces new problems, li...

full text

Privacy-Preserving Link Prediction in Decentralized Online Social Networks

We consider the privacy-preserving link prediction problem in decentralized online social network (OSNs). We formulate the problem as a sparse logistic regression problem and solve it with a novel decentralized two-tier method using alternating direction method of multipliers (ADMM). This method enables end users to collaborate with their online service providers without jeopardizing their data...

full text

Crypto-Book: Bootstrapping Privacy Preserving Online Identities from Social Networks

Social networking sites supporting federated identities offer a convenient and increasingly popular mechanism for cross-site authentication. Unfortunately, they also exacerbate many privacy and tracking risks. We propose Crypto-Book, an anonymizing layer enabling cross-site authentication while reducing these risks. Crypto-Book relies on a set of independently managed servers that collectively ...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 6  issue 1

pages  35- 52

publication date 2014-01-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023