| Description |
1 online resource (ix, 75 pages) : illustrations |
| Series |
Synthesis lectures on data mining and knowledge discovery, 2151-0075 ; #4 |
|
Synthesis lectures on data mining and knowledge discovery ; #4. 2151-0075
|
| Contents |
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 |
| 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 |
| Analysis |
privacy |
|
social networks |
|
affiliation networks |
|
personalization |
|
protection mechanisms |
|
anonymization |
|
privacy risk |
| Bibliography |
Includes bibliographical references (pages 65-74) |
| Notes |
Online resource; title from PDF title page (Morgan & Claypool, viewed Sept. 27, 2012) |
| Subject |
Online social networks -- Security measures
|
|
Data protection.
|
|
PSYCHOLOGY -- Social Psychology.
|
|
Data protection
|
| Form |
Electronic book
|
| Author |
Terzi, Evimaria.
|
|
Getoor, Lise.
|
| ISBN |
9781608458639 |
|
1608458636 |
|
9783031019012 |
|
3031019016 |
|
