Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Towards Transparency in Email Tracking

  • Conference paper
  • First Online:
Privacy Technologies and Policy (APF 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11498))

Included in the following conference series:

Abstract

Tracking technologies have become ubiquitous, not only on websites but also in email messages. However, while protection and transparency tools exist for the web, no such tools exist for email messages, thus obscuring privacy violations. We introduce the PrivacyMail platform to assist with the automated analysis of email messages. The platform automatically analyzes commercial mailing lists, making it easier to detect different forms of tracking. Our platform introduces transparency about the practices of companies, and serves as a tool for regulators, data protection professionals and consumers alike. Our preliminary results show widespread email tracking, where opening an email can result in information being sent to up to 13 third parties, in some cases disclosing the users’ email address in the process.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    See Table 12 of [4] for an overview of eMail client behavior.

  2. 2.

    Differentiating between these cases automatically is challenging, as standard tracker blocking lists have been shown to be unreliable when applied to email tracking [4].

  3. 3.

    We were unable to find details about this company, but hashed email address leaks to this company have also been observed by Englehardt et al. [4].

References

  1. Andersdotter, A., Jensen-Urstad, A.: Evaluating websites and their adherence to data protection principles: tools and experiences. IFIP Adv. Inf. Commun. Technol. 498, 39–51 (2016)

    Article  Google Scholar 

  2. Clark, J., van Oorschot, P.C., Ruoti, S., Seamons, K., Zappala, D.: Securing Email. ArXiv preprint (2018). arXiv:1804.07706

  3. Electronic Frontier Foundation: PrivacyBadger. https://eff.org/privacybadger. Accessed 28 Jan 2019

  4. Englehardt, S., Han, J., Narayanan, A.: I never signed up for this! Privacy implications of email tracking. Proc. Priv. Enhancing Technol. 2018(1), 109–126 (2018)

    Article  Google Scholar 

  5. Englehardt, S., Narayanan, A.: Online tracking: a 1-million-site measurement and analysis. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security - CCS 2016, no. 1, pp. 1388–1401. ACM Press, New York (2016)

    Google Scholar 

  6. Haupt, J., Bender, B., Fabian, B., Lessmann, S.: Robust identification of email tracking: a machine learning approach. Eur. J. Oper. Res. 271(1), 341–356 (2018)

    Article  Google Scholar 

  7. Hu, H., Peng, P., Wang, G.: Characterizing pixel tracking through the lens of disposable email services. IEEE Secur. Priv. 2019, 545–559 (2019)

    Google Scholar 

  8. Maass, M., Walter, N., Herrmann, D., Hollick, M.: On the Difficulties of incentivizing online privacy through transparency: a qualitative survey of the German health insurance market. In: 14. Internationale Tagung Wirtschaftsinformatik (2019)

    Google Scholar 

  9. Maass, M., Wichmann, P., Pridöhl, H., Herrmann, D.: PrivacyScore: improving privacy and security via crowd-sourced benchmarks of websites. In: Schweighofer, E., Leitold, H., Mitrakas, A., Rannenberg, K. (eds.) APF 2017. LNCS, vol. 10518, pp. 178–191. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67280-9_10

    Chapter  Google Scholar 

  10. Marx, M., Zimer, E., Mueller, T., Blochberger, M., Federrath, H.: Hashing of personally identifiable information is not sufficient. Sicherheit, pp. 55–68 (2018)

    Google Scholar 

  11. Pridöhl, H.: Privacyscanner. https://github.com/PrivacyScore/Privacyscanner, https://doi.org/10.5281/zenodo.2555037. Accessed 28 Jan 2019

  12. Xu, H., Hao, S., Sari, A., Wang, H.: Privacy risk assessment on email tracking. In: IEEE INFOCOM, pp. 2519–2527 (2018)

    Google Scholar 

Download references

Acknowledgements

This work has been co-funded by the DFG as part of project C.1 within the RTG 2050 “Privacy and Trust for Mobile Users”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Max Maass .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Maass, M., Schwär, S., Hollick, M. (2019). Towards Transparency in Email Tracking. In: Naldi, M., Italiano, G., Rannenberg, K., Medina, M., Bourka, A. (eds) Privacy Technologies and Policy. APF 2019. Lecture Notes in Computer Science(), vol 11498. Springer, Cham. https://doi.org/10.1007/978-3-030-21752-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-21752-5_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21751-8

  • Online ISBN: 978-3-030-21752-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics