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Privacy in Social Networks [electronic resource] / by Elena Zheleva, Evimaria Terzi, Lise Getoor.

By: Zheleva, Elena [author.].
Contributor(s): Terzi, Evimaria [author.] | Getoor, Lise [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Data Mining and Knowledge Discovery: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: X, 96 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031019012.Subject(s): Data mining | Statistics  | Data Mining and Knowledge Discovery | StatisticsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
Contents:
Introduction -- A Model for Online Social Networks -- Types of Privacy Disclosure -- Statistical Methods for Inferring Information in Networks -- Anonymity and Differential Privacy -- Attacks and Privacy-preserving Mechanisms -- Models of Information Sharing -- Users' Privacy Risk -- Management of Privacy Settings.
In: Springer Nature eBookSummary: This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings.
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Introduction -- A Model for Online Social Networks -- Types of Privacy Disclosure -- Statistical Methods for Inferring Information in Networks -- Anonymity and Differential Privacy -- Attacks and Privacy-preserving Mechanisms -- Models of Information Sharing -- Users' Privacy Risk -- Management of Privacy Settings.

This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings.

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