Retrieval of Personal Public Data on Social Networks: The Risks for Privacy

View Sample PDF

Author(s): Francesca Carmagnola (University of Turin, Italy), Francesco Osborne (University of Turin, Italy)and Ilaria Torre (University of Genoa, Italy)
Copyright: 2013
Pages: 24
Source title: Social Network Engineering for Secure Web Data and Services
Source Author(s)/Editor(s): Luca Caviglione (Institute of Intelligent Systems for Automation (ISSIA), Italy), Mauro Coccoli (University of Genoa, Italy)and Alessio Merlo (University of Genoa & Università Telematica e-campus, Italy)
DOI: 10.4018/978-1-4666-3926-3.ch007

Keywords: Information Science Reference / IT Security and Ethics / Media & Communications / Social Networking

Purchase

View on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, the authors analyze the risks for privacy coming from the distribution of user data over several social networks. Specifically, they focus on risks concerning the possibility to aggregate user data discovered on different sources into a single more complete profile, which makes possible to infer other data, likely set as private by the user. In order to show how it is possible to human users as well as to software agents crawling social networks, identifying users, linking their profiles and aggregating their data, the authors describe the prototype of a search engine they developed. The authors also present a simulation analysis to show the retrievability of user data by using a combination of people search engines and they provide statistics on the user perception on this issue.

The IRMA Community

Research IRM

Retrieval of Personal Public Data on Social Networks: The Risks for Privacy

Purchase

Abstract

Related Content

IRMA Sponsors