Location Privacy Protection in Mobile Networks

Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Application Software
Cover of the book Location Privacy Protection in Mobile Networks by Xinxin Liu, Xiaolin Li, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Xinxin Liu, Xiaolin Li ISBN: 9781461490746
Publisher: Springer New York Publication: October 17, 2013
Imprint: Springer Language: English
Author: Xinxin Liu, Xiaolin Li
ISBN: 9781461490746
Publisher: Springer New York
Publication: October 17, 2013
Imprint: Springer
Language: English

This SpringerBrief analyzes the potential privacy threats in wireless and mobile network environments, and reviews some existing works. It proposes multiple privacy preserving techniques against several types of privacy threats that are targeting users in a mobile network environment. Depending on the network architecture, different approaches can be adopted. The first proposed approach considers a three-party system architecture where there is a trusted central authority that can be used to protect users’ privacy. The second approach considers a totally distributed environment where users perform privacy protection by themselves. Finally, more general system architecture is discussed including how a semi-trusted server may exist, but users need to collaborate to achieve maximized privacy protection. This brief is designed for researchers and professionals working with privacy preservation, mobile networks, and threat models. The variety of approaches presented makes it useful for students as well.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This SpringerBrief analyzes the potential privacy threats in wireless and mobile network environments, and reviews some existing works. It proposes multiple privacy preserving techniques against several types of privacy threats that are targeting users in a mobile network environment. Depending on the network architecture, different approaches can be adopted. The first proposed approach considers a three-party system architecture where there is a trusted central authority that can be used to protect users’ privacy. The second approach considers a totally distributed environment where users perform privacy protection by themselves. Finally, more general system architecture is discussed including how a semi-trusted server may exist, but users need to collaborate to achieve maximized privacy protection. This brief is designed for researchers and professionals working with privacy preservation, mobile networks, and threat models. The variety of approaches presented makes it useful for students as well.

More books from Springer New York

Cover of the book Surgical Anatomy and Technique by Xinxin Liu, Xiaolin Li
Cover of the book Vascular Disruptive Agents for the Treatment of Cancer by Xinxin Liu, Xiaolin Li
Cover of the book Acupuncture for Pain Management by Xinxin Liu, Xiaolin Li
Cover of the book Residue Reviews by Xinxin Liu, Xiaolin Li
Cover of the book Advanced Symbolic Analysis for VLSI Systems by Xinxin Liu, Xiaolin Li
Cover of the book Experimental Hematology Today—1988 by Xinxin Liu, Xiaolin Li
Cover of the book Leaping Ahead by Xinxin Liu, Xiaolin Li
Cover of the book Routes to Cellulosic Ethanol by Xinxin Liu, Xiaolin Li
Cover of the book Fostering Resilience for Loss and Irrelevance by Xinxin Liu, Xiaolin Li
Cover of the book Levels of Cognitive Complexity by Xinxin Liu, Xiaolin Li
Cover of the book Mechanical Vibrations by Xinxin Liu, Xiaolin Li
Cover of the book Precision Molecular Pathology of Breast Cancer by Xinxin Liu, Xiaolin Li
Cover of the book Clusters, Orders, and Trees: Methods and Applications by Xinxin Liu, Xiaolin Li
Cover of the book Paradigms in Theory Construction by Xinxin Liu, Xiaolin Li
Cover of the book Molecular Surgical Pathology by Xinxin Liu, Xiaolin Li
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy