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 Towards a Northeast Asian Security Community by Xinxin Liu, Xiaolin Li
Cover of the book New Directions in Affective Disorders by Xinxin Liu, Xiaolin Li
Cover of the book Mental Health Practitioner's Guide to HIV/AIDS by Xinxin Liu, Xiaolin Li
Cover of the book Measuring Technology and Mechatronics Automation in Electrical Engineering by Xinxin Liu, Xiaolin Li
Cover of the book Residue Reviews / Rückstands-Berichte by Xinxin Liu, Xiaolin Li
Cover of the book Multifunctional Nanoparticles for Drug Delivery Applications by Xinxin Liu, Xiaolin Li
Cover of the book Urea-SCR Technology for deNOx After Treatment of Diesel Exhausts by Xinxin Liu, Xiaolin Li
Cover of the book Pediatric Atlas of Ultrasound- and Nerve Stimulation-Guided Regional Anesthesia by Xinxin Liu, Xiaolin Li
Cover of the book Narcolepsy by Xinxin Liu, Xiaolin Li
Cover of the book Skin Cancer by Xinxin Liu, Xiaolin Li
Cover of the book Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research by Xinxin Liu, Xiaolin Li
Cover of the book The Social and Cognitive Aspects of Normal and Atypical Language Development by Xinxin Liu, Xiaolin Li
Cover of the book Immunology of the Lymphatic System by Xinxin Liu, Xiaolin Li
Cover of the book Breakthrough Teaching and Learning by Xinxin Liu, Xiaolin Li
Cover of the book Statistics and Analysis of Scientific Data 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