By Topic

Vegas -- A Secure and Privacy-Preserving Peer-to-Peer Online Social Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Michael Dürr ; Ludwig-Maximilians-Univ. Munich, Munich, Germany ; Marco Maier ; Florian Dorfmeister

Although Social Network Service (SNS) providers like Facebook and Google attempt to mitigate security and privacy-related concerns of their users, abuses and misuses of personal data still make the headlines. As centralized storage of personal data is a decisive factor for unintended information disclosure, several architectures for decentralized Online Social Networks (OSNs) have been proposed. System designs range from solutions based on a decentralized client server architecture like Diaspora to P2P systems like PeerSoN. Despite all efforts to accomplish strong decentralization, most proposals cannot achieve sufficient informational self-determination, i.e., users do not have full control over storage and dissemination of their personal data and published content. In this paper we follow a contrary approach and present Vegas, a secure and privacy-preserving P2P OSN which restricts the possibility to browse the social graph to the ego network. We show how Vegas achieves a maximum degree of security and privacy through encryption and decentralization. We present our mobile Vegas prototype and its context-dependent communication channel decision model. Finally we show how Vegas can be extended to support services like social-search and directory services in a secure and privacy-preserving way.

Published in:

Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom)

Date of Conference:

3-5 Sept. 2012