My Account Log in

1 option

Privacy in Social Networks / by Elena Zheleva, Evimaria Terzi, Lise Getoor.

Springer Nature Synthesis Collection of Technology Collection 4 Available online

View online
Format:
Book
Author/Creator:
Zheleva, Elena., Author.
Terzi, Evimaria., Author.
Getoor, Lise., Author.
Series:
Synthesis Lectures on Data Mining and Knowledge Discovery, 2151-0075
Language:
English
Subjects (All):
Data mining.
Statistics.
Data Mining and Knowledge Discovery.
Local Subjects:
Data Mining and Knowledge Discovery.
Statistics.
Physical Description:
1 online resource (X, 96 p.)
Edition:
1st ed. 2012.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2012.
Summary:
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.
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.
ISBN:
9783031019012
3031019016

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account