Handbook of Mobile Data Privacy available in Hardcover, Paperback, eBook
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Handbook of Mobile Data Privacy
- ISBN-10:
- 3319981609
- ISBN-13:
- 9783319981604
- Pub. Date:
- 10/27/2018
- Publisher:
- Springer International Publishing
- ISBN-10:
- 3319981609
- ISBN-13:
- 9783319981604
- Pub. Date:
- 10/27/2018
- Publisher:
- Springer International Publishing
![Handbook of Mobile Data Privacy](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.8.5)
Handbook of Mobile Data Privacy
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$199.99Overview
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 ofmobility 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 inlocation 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.
Product Details
ISBN-13: | 9783319981604 |
---|---|
Publisher: | Springer International Publishing |
Publication date: | 10/27/2018 |
Edition description: | 1st ed. 2018 |
Pages: | 403 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |
About the Author
Claudio Bettini is professor of computer science at the University of Milan, where he leads the Every-Ware laboratory at the computer science department. Claudio received his PhD in Computer Science from the University of Milan in 1993. He has been post-doc at IBM Research, NY, and, for more than a decade, an affiliate research professor at the Center for Secure Information Systems at George Mason University, VA. His research interests cover the areas of mobile and pervasive computing, data privacy, temporal and spatial data management and intelligent systems. He is the author of over 150 peer-reviewed publications on these topics. He acted as co-PI of several international projects on data privacy and contributed as project reviewer in the EU Horizon H2020 ERC and FET initiatives. Among his many organizational activities he acted as general chair of IEEE PERCOM 2017 and IEEE MDM 2013 and as TPC Chair of IEEE PERCOM 2013. He is a member of the steering committee of IEEE PerCom and served as associate editor of the Pervasive and Mobile Computing Journal, The VLDB Journal, and the IEEE Transactions on Knowledge and Data Engineering. In 2011 he founded EveryWare Technologies, a startup developing innovative mobile apps and services for privacy and assistive technologies. He is a IEEE senior member.
Table of 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.What People are Saying About This
“The book provides a 360-degree view on the important and timely topic of location and mobility data privacy. It goes from modeling the privacy to analyzing private data, privacy-preserving systems, and privacy in various technologies and applications. The book is necessary for researchers, developers, and practitioners who would need to understand, develop, and/or apply state-of-the techniques for location privacy.” (Mohamed Mokbel, Professor, Department of Computer Science and Engineering University, University of Minnesota, USA)
“With the number of smartphone users approaching three billion, mobile access has become the norm. A variety of techniques enables capture of the location of a smartphone user. While useful for a broad range of purposes, this also presents a broad range of privacy-related challenges. For example, users may be identified from their location data or may be placed in sensitive locations. This book offers a unique overview of challenges, concepts, and state-of-the-art solutions in relation to mobile data privacy. The book comes highly recommended as a starting point for anyone who wants to understand the issues related to mobile data privacy and how to address them.” (Christian S. Jensen, Aalborg University, Denmark)