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As a follow up to characterizing traffic deemed as unwanted by Web clients such as advertisements, we examine how information related to individual users is aggregated as a result of browsing seemingly unrelated Web sites. We examine the privacy diffusion on the Internet, hidden transactions, and the potential for a few sites to be able to construct a profile of individual users. We define and generate a privacy footprint allowing us to assess and compare the diffusion of privacy information across a wide variety of sites. We examine the effectiveness of existing and new techniques to reduce this diffusion. Our results show that the size of the privacy footprint is a legitimate cause for concern across the sets of sites that we study.
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Balachander Krishnamurthy
AT&T (United States)
Craig E. Wills
Worcester Polytechnic Institute
AT&T (United States)
Worcester Polytechnic Institute
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Krishnamurthy et al. (Wed,) studied this question.
synapsesocial.com/papers/6a1b514b950e49a3ca0c3983 — DOI: https://doi.org/10.1145/1177080.1177088
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