Handbook of Mobile Data Privacy

Author:   Aris Gkoulalas-Divanis ,  Claudio Bettini
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
ISBN:  

9783319981604


Pages:   403
Publication Date:   07 November 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Handbook of Mobile Data Privacy


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Author:   Aris Gkoulalas-Divanis ,  Claudio Bettini
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Weight:   0.828kg
ISBN:  

9783319981604


ISBN 10:   3319981609
Pages:   403
Publication Date:   07 November 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

Reviews

This handbook is an interesting, well-prepared, and seriously edited library addition for anyone interested in privacy. (Agusti Solanas, Computing Reviews, July 22, 2019)


Author Information

Aris Gkoulalas-Divanis is the technical lead on data protection and privacy for IBM Watson Health. In this role, he is responsible for the design and integration of novel privacy-protection methods to the IBM Watson Platform for Health and the IBM Cloud, to support IBM customers' privacy and utility requirements. Aris received his PhD in Computer Science from the University of Thessaly in 2009. His PhD dissertation was awarded the Certificate of Recognition and Honorable Mention in the 2009 ACM SIGKDD Dissertation Award. He has been a postdoctoral research fellow in the Department of Biomedical Informatics of Vanderbilt University (2009-2010), and a Research Scientist in IBM Research-Zurich (2010-2012) and IBM Research-Ireland (2012-2016). His research interests are in the areas of databases, data mining, privacy-preserving data mining, privacy in trajectories and location based services, privacy in medical data, and knowledge hiding. In these areas, he has given many seminars and two tutorials (ECML/PKDD 2011, SDM 2012), he has published more than 80 research works - including four Springer books, and he has applied for or being granted more than 25 patents (received three IBM Invention Achievement Awards). Aris is a regular reviewer in top quality journals, as well as participates to the program committee of many prestigious conferences. He serves as an associate editor of the Knowledge and Information Systems (KAIS) journal, the IEEE Transactions on Information Forensics and Security (T-IFS), the International Journal of Research & Development Innovation Strategy (IJRDIS), and the International Journal of Knowledge-Based Organizations (IJKBO). Since 2014 he is an area editor for ACM Computing Reviews (CR) covering the Information Systems category. Aris is a senior member of IEEE, a professional member of ACM, SIAM and AAAS, and an at-large member of UPE and Sigma Xi. 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.

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