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Handbook of Mobile Data Privacy pdf

Book Description:

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 the EU, US, Canada, Australia, New Zealand, Japan, and 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.

Table of contents :

Front Matter ….Pages i-xxxviii
Introduction to Mobility Data Privacy (Aris Gkoulalas-Divanis, Claudio Bettini)….Pages 1-9
Front Matter ….Pages 11-11
Modeling and Understanding Intrinsic Characteristics of Human Mobility (Jameson L. Toole, Yves-Alexandre de Montjoye, Marta C. González, Alex (Sandy) Pentland)….Pages 13-34
Privacy in Location-Sensing Technologies (Andreas Solti, Sushant Agarwal, Sarah Spiekermann-Hoff)….Pages 35-69
Front Matter ….Pages 71-71
Privacy Protection in Location-Based Services: A Survey (Claudio Bettini)….Pages 73-96
Analyzing Your Location Data with Provable Privacy Guarantees (Ashwin Machanavajjhala, Xi He)….Pages 97-127
Opportunities and Risks of Delegating Sensing Tasks to the Crowd (Delphine Reinhardt, Frank Dürr)….Pages 129-165
Location Privacy in Spatial Crowdsourcing (Hien To, Cyrus Shahabi)….Pages 167-194
Privacy in Geospatial Applications and Location-Based Social Networks (Igor Bilogrevic)….Pages 195-228
Privacy of Connected Vehicles (Jonathan Petit, Stefan Dietzel, Frank Kargl)….Pages 229-251
Privacy by Design for Mobility Data Analytics (Francesca Pratesi, Anna Monreale, Dino Pedreschi)….Pages 253-277
Front Matter ….Pages 279-279
Systems for Privacy-Preserving Mobility Data Management (Despina Kopanaki, Nikos Pelekis, Yannis Theodoridis)….Pages 281-305
Privacy-Preserving Release of Spatio-Temporal Density (Gergely Acs, Gergely Biczók, Claude Castelluccia)….Pages 307-335
Context-Adaptive Privacy Mechanisms (Florian Schaub)….Pages 337-372
Location Privacy-Preserving Applications and Services (Ioannis Boutsis, Vana Kalogeraki)….Pages 373-398
Back Matter ….Pages 399-403

 

Handbook of Mobile Data Privacy PDF

Author(s): Aris Gkoulalas-Divanis

Publisher: Springer, Year: 2018

ISBN: 3319981609, 9783319981604


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