Attack vector analysis and privacy-preserving social network data publishing
Ninggal, Mohd Izuan Hafez and Abawajy, Jemal 2011, Attack vector analysis and privacy-preserving social network data publishing, in TRUSTCOM 2011 : International Conference on Trust, Security and Privacy in Computing and Communications, IEEE, [Changsha, China], pp. 847-852.
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Title
Attack vector analysis and privacy-preserving social network data publishing
This paper addresses the problem of privacy-preserving data publishing for social network. Research on protecting the privacy of individuals and the confidentiality of data in social network has recently been receiving increasing attention. Privacy is an important issue when one wants to make use of data that involves individuals' sensitive information, especially in a time when data collection is becoming easier and sophisticated data mining techniques are becoming more efficient. In this paper, we discuss various privacy attack vectors on social networks. We present algorithms that sanitize data to make it safe for release while preserving useful information, and discuss ways of analyzing the sanitized data. This study provides a summary of the current state-of-the-art, based on which we expect to see advances in social networks data publishing for years to come.
ISBN
9780769546001
Language
eng
Field of Research
080501 Distributed and Grid Systems
Socio Economic Objective
890206 Internet Hosting Services (incl. Application Hosting Services)