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Even Turing Should Sometimes Not Be Able to Tell: Mimicking Humanoid Usage Behavior for Exploratory Studies of Online Services

  • Stephan WieflingEmail author
  • Nils Gruschka
  • Luigi Lo Iacono
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11875)

Abstract

Online services such as social networks, online shops, and search engines deliver different content to users depending on their location, browsing history, or client device. Since these services have a major influence on opinion forming, understanding their behavior from a social science perspective is of greatest importance. In addition, technical aspects of services such as security or privacy are becoming more and more relevant for users, providers, and researchers. Due to the lack of essential data sets, automatic black box testing of online services is currently the only way for researchers to investigate these services in a methodical and reproducible manner. However, automatic black box testing of online services is difficult since many of them try to detect and block automated requests to prevent bots from accessing them.

In this paper, we introduce a testing tool that allows researchers to create and automatically run experiments for exploratory studies of online services. The testing tool performs programmed user interactions in such a manner that it can hardly be distinguished from a human user. To evaluate our tool, we conducted—among other things—a large-scale research study on Risk-based Authentication (RBA), which required human-like behavior from the client. We were able to circumvent the bot detection of the investigated online services with the experiments. As this demonstrates the potential of the presented testing tool, it remains to the responsibility of its users to balance the conflicting interests between researchers and service providers as well as to check whether their research programs remain undetected.

Keywords

Black box testing Evaluation Testing framework 

Notes

Acknowledgements

We would like to thank Tanvi Patil for proofreading a draft of the paper. This research was supported by the research training group “Human Centered Systems Security” (NERD.NRW) sponsored by the state of North Rhine-Westphalia.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.TH Köln - University of Applied SciencesCologneGermany
  2. 2.University of OsloOsloNorway

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