96,059 research outputs found
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
Recommender systems have become an integral part of many social networks and
extract knowledge from a user's personal and sensitive data both explicitly,
with the user's knowledge, and implicitly. This trend has created major privacy
concerns as users are mostly unaware of what data and how much data is being
used and how securely it is used. In this context, several works have been done
to address privacy concerns for usage in online social network data and by
recommender systems. This paper surveys the main privacy concerns, measurements
and privacy-preserving techniques used in large-scale online social networks
and recommender systems. It is based on historical works on security,
privacy-preserving, statistical modeling, and datasets to provide an overview
of the technical difficulties and problems associated with privacy preserving
in online social networks.Comment: 26 pages, IET book chapter on big data recommender system
Pretty Private Group Management
Group management is a fundamental building block of today's Internet
applications. Mailing lists, chat systems, collaborative document edition but
also online social networks such as Facebook and Twitter use group management
systems. In many cases, group security is required in the sense that access to
data is restricted to group members only. Some applications also require
privacy by keeping group members anonymous and unlinkable. Group management
systems routinely rely on a central authority that manages and controls the
infrastructure and data of the system. Personal user data related to groups
then becomes de facto accessible to the central authority. In this paper, we
propose a completely distributed approach for group management based on
distributed hash tables. As there is no enrollment to a central authority, the
created groups can be leveraged by various applications. Following this
paradigm we describe a protocol for such a system. We consider security and
privacy issues inherently introduced by removing the central authority and
provide a formal validation of security properties of the system using AVISPA.
We demonstrate the feasibility of this protocol by implementing a prototype
running on top of Vuze's DHT
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