Behavioural analytics: A preventative means for the future of policing

Alireza Daneshkhah, Hamid Jahankhani, Homan Forouzan, Reza Montasari, Amin Hosseinian-Far

Research output: Chapter in Book/Report/Conference proceedingChapter


Without sufficient intelligence, police response to crimes occurs in the form a reactive retort. This is even more so in the case of cyberspace policing, as digital platforms increase the complexities involved in the overall police incident response development. In this paper, we briefly introduce cybercrime and the necessities that police forces have to deal with. We argue that there is an urgent need for development and adoption of proactive and preventive techniques to identify and curb cyber and cyber-enabled crimes. We then present topic modelling as one of effective preventive techniques for predicting behaviours that can potentially be linked to cybercrime activities on social media.

Original languageEnglish
Title of host publicationAdvanced Sciences and Technologies for Security Applications
PublisherSpringer Nature
Number of pages14
Publication statusPublished - 18 Jul 2020
Externally publishedYes

Publication series

NameAdvanced Sciences and Technologies for Security Applications
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466


  • Behavioural analytics
  • Future of policing
  • Information security
  • Machine learning
  • Predictive inference
  • Topic model


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