A framework for agro-terrorism intentions detection using overt data sources

Eli Rohn, Gil Erez

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Agro-terrorism is a hostile attack, towards an agricultural environment, including infrastructures and processes, in order to significantly damage national and international political interests. This article provides a framework for reducing agro-terrorism-related risks by either means of foresight (prevention) or early detection of exotic/foreign pathogenic agents and their dispersion patterns. It focuses on intention detection using overt data sources on the World Wide Web as they relate to agro-terrorism threats. The paper defines agro-terrorism, examines data characteristics, identifies weaknesses among the intelligence community that must be addressed, then integrates the classical intelligence cycle for early detection that may lead to prevention of such acts.

Original languageEnglish
Pages (from-to)1877-1884
Number of pages8
JournalTechnological Forecasting and Social Change
Issue number9
StatePublished - 1 Nov 2013


  • Agroterrorism
  • Authorship attribution
  • Cyber-terrorism
  • Digital shadow
  • Intelligence
  • Text mining

ASJC Scopus subject areas

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation


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