Abstract
During the visit to any website, the average internaut may face scripts that upload personal information to so called online trackers, invisible third party services that collect information about users and profile them. This is no news, and many works in the past tried to measure the extensiveness of this phenomenon. All of them ran active measurement campaigns via crawlers. In this paper, we observe the phenomenon from a passive angle, to naturally factor the diversity of the Internet and of its users. We analyze a large dataset of passively collected traffic summaries to observe how pervasive online tracking is. We see more than 400 tracking services being contacted by unaware users, of which the top 100 are regularly reached by more than 50 % of Internauts, with top three that are practically impossible to escape. Worse, more than 80 % of users gets in touch the first tracker within 1 second after starting navigating. And we see a lot of websites that hosts hundreds of tracking services. Conversely, those popular web extensions that may improve personal protection, e.g., DoNotTrackMe, are actually installed by a handful of users (3.5 %). The resulting picture witnesses how pervasive the phenomenon is, and calls for an increase of the sensibility of people, researchers and regulators toward privacy in the Internet.
This work was conducted under the Narus Fellow Research Program.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
IAB internet advertising revenue report, 2013 full year results. http://www.iab.net/media/file/IAB_Internet_Advertising_Revenue_Report_FY_2013.pdf
Ghostery. https://www.ghostery.com/en/
DoNotTrackMe. http://www.abine.com/donottrackme.html
Privacy Badger. https://www.eff.org/privacybadger
AdBlockPlus. http://adblockplus.org/
Acar, G., Eubank, C., Englehardt, S., Juarez, M., Narayanan, A., Diaz, C.: The web never forgets: persistent tracking mechanisms in the wild. In: ACM SIGSAC (2014)
Barford, P., Canadi, I., Krushevskaja, D., Ma, Q., Muthukrishnan, S.: Adscape: harvesting and analyzing online display ads. In: WWW (2014)
Bermudez, I.N., Mellia, M., Munafo, M.M., Keralapura, R., Nucci, A.: DNS to the rescue: discerning content and services in a tangled web. In: ACM IMC (2012)
Castelluccia, C., Grumbach, S., Olejnik, L.: Data harvesting 2.0: from the visible to the invisible web. In: WEIS (2013)
Chaabane, A., Kaafar, M.A., Boreli, R.: Big friend is watching you: analyzing online social networks tracking capabilities. In: ACM WOSN (2012)
Falahrastegar, M., Haddadi, H., Uhlig, S., Mortier, R.: The rise of panopticons: examining region-specific third-party web tracking. In: Dainotti, A., Mahanti, A., Uhlig, S. (eds.) TMA 2014. LNCS, vol. 8406, pp. 104–114. Springer, Heidelberg (2014)
Gomer, R., Mendes Rodrigues, E., Milic-Frayling, N., Schraefel, M.: Network analysis of third party tracking: User exposure to tracking cookies through search. In: ACM WI-IAT (2013)
Krishnamurthy, B., Naryshkin, K., Wills, C.E.: Privacy leakage vs. Protection measures: the growing disconnect. In: W2SP (2011)
Krishnamurthy, B., Wills, C.: Privacy diffusion on the web: a longitudinal perspective. In: WWW (2009)
Roesner, F., Kohno, T., Wetherall, D.: Detecting and defending against third-party tracking on the web. In: USENIX NSDI (2012)
Vallina-Rodriguez, N., Shah, J., Finamore, A., Grunenberger, Y., Papagiannaki, K., Haddadi, H., Crowcroft, J.: Breaking for commercials: characterizing mobile advertising. In: ACM IMC (2012)
Yen, T.F., Xie, Y., Yu, F., Yu, R.P., Abadi, M.: Host fingerprinting and tracking on the web: privacy and security implications. In: NDSS (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 IFIP International Federation for Information Processing
About this paper
Cite this paper
Metwalley, H., Traverso, S., Mellia, M., Miskovic, S., Baldi, M. (2015). The Online Tracking Horde: A View from Passive Measurements. In: Steiner, M., Barlet-Ros, P., Bonaventure, O. (eds) Traffic Monitoring and Analysis. TMA 2015. Lecture Notes in Computer Science(), vol 9053. Springer, Cham. https://doi.org/10.1007/978-3-319-17172-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-17172-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17171-5
Online ISBN: 978-3-319-17172-2
eBook Packages: Computer ScienceComputer Science (R0)