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Real-Time Target Tracking Through Mobile Crowdsensing Read chapter Read first chapter

2017 | OriginalPaper | Chapter

PrivacySafer: Privacy Adaptation for HTML5 Web Applications

Authors : Georgia M. Kapitsaki, Theodoros Charalambous

Published in: Web Information Systems Engineering – WISE 2017

Publisher: Springer International Publishing

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Abstract

Privacy protection is necessary in many applications in mobile and stationary environments. The advances in web applications with the introduction of HTML5 provide the possibility for cross-platform application support. Access to sensitive information is feasible via various means from such applications in order to provide a personalized user experience. Mechanisms to allow users to control this access are vital for a better web experience. In this work, we present our approach toward a mechanism for privacy protection in HTML5 web environments. User preferences for privacy policies can be specified via an indicated notation that considers contextual parameters. Preferences are taken into account during the execution adapting the application content. Our PrivacySafer approach is supported by implementations of extensions in two popular web browsers, Chrome and Firefox. An evaluation on the efficiency of the approach and the resulting web experience with a small group of users has been performed.

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previous chapter Extracting Web Content by Exploiting Multi-Category Characteristics
next chapter Anonymity-Based Privacy-Preserving Task Assignment in Spatial Crowdsourcing
Footnotes
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Metadata
Title
PrivacySafer: Privacy Adaptation for HTML5 Web Applications
Authors
Georgia M. Kapitsaki
Theodoros Charalambous
Copyright Year
2017
Book
Web Information Systems Engineering – WISE 2017

Print ISBN: 978-3-319-68785-8

Electronic ISBN: 978-3-319-68786-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-68786-5_20

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