Tutorial: Text Analytics for Security

Tao Xie, William Enck

Research output: Contribution to conferencePaperpeer-review


Computing systems that make security decisions often fail to take into account human expectations. This failure oc- curs because human expectations are typically drawn from in textual sources (e.g., mobile application description and requirements documents) and are hard to extract and codify. Recently, researchers in security and software engineering have begun using text analytics to create initial models of human expectation. In this tutorial, we provide an introduc- tion to popular techniques and tools of natural language pro- cessing (NLP) and text mining, and share our experiences in applying text analytics to security problems. We also high- light the current challenges of applying these techniques and tools for addressing security problems. We conclude the tu-torial with discussion of future research directions.

Original languageEnglish (US)
Number of pages2
StatePublished - 2016
EventSymposium and Bootcamp on the Science of Security, HotSos 2016 - Pittsburgh, United States
Duration: Apr 19 2016Apr 21 2016


ConferenceSymposium and Bootcamp on the Science of Security, HotSos 2016
Country/TerritoryUnited States


  • Security
  • human expectations
  • text analytics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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