Characterizing Web Pornography Consumption from Passive Measurements

  • Andrea Morichetta
  • Martino Trevisan
  • Luca VassioEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11419)


Web pornography represents a large fraction of the Internet traffic, with thousands of websites and millions of users. Studying web pornography consumption allows understanding human behaviors and it is crucial for medical and psychological research. However, given the lack of public data, these works typically build on surveys, limited by different factors, e.g., unreliable answers that volunteers may (involuntarily) provide.

In this work, we collect anonymized accesses to pornography websites using HTTP-level passive traces. Our dataset includes about \(15\,000\) broadband subscribers over a period of 3 years. We use it to provide quantitative information about the interactions of users with pornographic websites, focusing on time and frequency of use, habits, and trends. We distribute our anonymized dataset to the community to ease reproducibility and allow further studies.


Passive measurements Web pornography Adult content User behaviour Network monitoring 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Andrea Morichetta
    • 1
  • Martino Trevisan
    • 1
  • Luca Vassio
    • 1
    Email author
  1. 1.Politecnico di TorinoTurinItaly

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