@conference{Macia-Fernandez:2010:IBA:1833515.1833725,
author = "Maci{\'a}-Fern{\'a}ndez, Gabriel  and Yong Wang and Rodr{\'i}guez-G{\'o}mez, Rafael A. and Aleksandar Kuzmanovic",
abstract = "Online advertising is a rapidly growing industry
currently dominated by the search engine ’giant’ Google. In an
attempt to tap into this huge market, Internet Service Providers
(ISPs) started deploying deep packet inspection techniques to
track and collect user browsing behavior. However, such tech-
niques violate wiretap laws that explicitly prevent intercepting
the contents of communication without gaining consent from
consumers. In this paper, we show that it is possible for ISPs
to extract user browsing patterns without inspecting contents of
communication.
Our contributions are threefold. First, we develop a metho-
dology and implement a system that is capable of extracting
web browsing features from stored non-content based records of
online communication, which could be legally shared. When such
browsing features are correlated with information collected by
independently crawling the Web, it becomes possible to recover
the actual web pages accessed by clients. Second, we system-
atically evaluate our system on the Internet and demonstrate
that it can successfully recover user browsing patterns with high
accuracy. Finally, our findings call for a comprehensive legislative
reform that would not only enable fair competition in the online
advertising business, but more importantly, protect the consumer
rights in a more effective way.
",
booktitle = "Proceedings of the 29th conference on Information communications, INFOCOM 2010",
isbn = "978-1-4244-5836-3",
publisher = "IEEE Press",
title = "{ISP}-enabled behavioral ad targeting without deep packet inspection",
url = "http://dl.acm.org/citation.cfm?id=1833515.1833725",
year = "2010",
}