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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computer Networks
Article . 2013 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2013
Data sources: DBLP
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Privacy leakage on the Web: Diffusion and countermeasures

Authors: MALANDRINO, Delfina; SCARANO, Vittorio;

Privacy leakage on the Web: Diffusion and countermeasures

Abstract

Abstract Protecting privacy on the Web is becoming increasingly complicated because of the considerable amount of personal and sensitive information left by users in many locations during their Web browsing and the silent actions of third party sites that collect data, aggregate information and build personal profiles of Internet users in order to provide free and personalized services. On the other hand, most of people are unaware that their information may be collected online, and that, after their aggregation from multiple sources, could be used for secondary purposes, such as linked to allow identification, without user’s notice. We present, in this paper, an empirical data study in order to describe how users’ privacy can be undermined because of a variety of potential privacy threats on the Web, mainly perpetrated by third party entities against unaware users, and to quantify the penetration of these third party domain servers into their online activities. Moreover, we discuss our methods and findings to protect the individuals against invasions of their privacy and to limit the diffusion of personal and sensitive information during Web browsing. Specifically, we present a supportive, comprehensive and improved approach for privacy protection to allow users to be aware of the risks of their navigation and to give them full control on feasible actions to address the risk of several privacy threats. We envisioned a comprehensive approach to face privacy leakage by adding to the traditional URL-based filtering mechanism a new filtering method which allows to address privacy threats unprecedentedly not dealt with. Our approach is validated by a Firefox extension, named NoTrace, that brings together several existing techniques in this field but also implements new improved techniques that ensure better privacy protection. We used NoTrace to broadly analyze the Web in order to inspect the potential threats contained in the most popular Web sites and inform online users about both their risk and extent. This data set was also used to test the efficiency of NoTrace for effectiveness and performances which allows us to mark a definite improvement on privacy protection for users while navigating the Web.

Country
Italy
Related Organizations
Keywords

Online privacy leakage and threats, Privacy enhancing technologies, Web navigation

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    popularity
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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