Handbook of Mobile Data Privacy / edited by Aris Gkoulalas-Divanis, Claudio Bettini.

Format:

Book

Contributor:

Gkoulalas-Divanis, Aris, editor.

Bettini, Cláudio, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Computer security.

Management information systems.

Computer science.

Computers.

Law and legislation.

Wireless communication systems.

Mobile communication systems.

Computer networks.

Computers and civilization.

Privacy.

Management of Computing and Information Systems.

Legal Aspects of Computing.

Wireless and Mobile Communication.

Computer Communication Networks.

Computers and Society.

Local Subjects:

Privacy.

Management of Computing and Information Systems.

Legal Aspects of Computing.

Wireless and Mobile Communication.

Computer Communication Networks.

Computers and Society.

Physical Description:

1 online resource (XXXVIII, 403 pages) : 91 illustrations, 74 illustrations in color

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

This handbook covers the fundamental principles and theory, and the state-of-the-art research, systems and applications, in the area of mobility data privacy. It is primarily addressed to computer science and statistics researchers and educators, who are interested in topics related to mobility privacy. This handbook will also be valuable to industry developers, as it explains the state-of-the-art algorithms for offering privacy. By discussing a wide range of privacy techniques, providing in-depth coverage of the most important ones, and highlighting promising avenues for future research, this handbook also aims at attracting computer science and statistics students to this interesting field of research. The advances in mobile devices and positioning technologies, together with the progress in spatiotemporal database research, have made possible the tracking of mobile devices (and their human companions) at very high accuracy, while supporting the efficient storage of mobility data in data warehouses, which this handbook illustrates. This has provided the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. As ubiquitous computing pervades our society, user mobility data represents a very useful but also extremely sensitive source of information. On one hand, the movement traces that are left behind by the mobile devices of the users can be very useful in a wide spectrum of applications such as urban planning, traffic engineering, and environmental pollution management. On the other hand, the disclosure of mobility data to third parties may severely jeopardize the privacy of the users whose movement is recorded, leading to abuse scenarios such as user tailing and profiling. A significant amount of research work has been conducted in the last 15 years in the area of mobility data privacy and important research directions, such as privacy-preserving mobility data management, privacy in location sensing technologies and location-based services, privacy in vehicular communication networks, privacy in location-based social networks, privacy in participatory sensing systems which this handbook addresses.. This handbook also identifies important privacy gaps in the use of mobility data and has resulted to the adoption of international laws for location privacy protection (e.g., in EU, US, Canada, Australia, New Zealand, Japan, Singapore), as well as to a large number of interesting technologies for privacy-protecting mobility data, some of which have been made available through open-source systems and featured in real-world applications.

Contents:

1 Introduction to Mobility Data Privacy

2 Modeling and Understanding Intrinsic Characteristics of Human Mobility

3 Privacy in Location-Sensing Technologies

4 Privacy Protection in Location-based Services: A Survey

5 Analyzing Your Location Data with Provable Privacy Guarantees

6 Opportunities and Risks of Delegating Sesning Tasks to the Crowd

7 Location Privacy in Spatial Crowdsourcing

8 Privacy in Geospatial Applications and Location-Based Social Networks

9 Privacy of Connected Vehicles

10 Privacy by Design for Mobility Data Analytics

11 Systems for Privacy-Preserving Mobility Data Management

12 Privacy-Preserving Release of Spatio-temporal Density

13 Context-adaptive Privacy Mechanisms

14 Location Privacy-Preserving Applications and Services.

Other Format:

Printed edition:

ISBN:

978-3-319-98161-1

9783319981611

9783319981604

9783319981628

9783030074593

Access Restriction:

Restricted for use by site license.