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

Eli Rohn and Gil Erez

Technological Forecasting and Social Change, 2013, vol. 80, issue 9, 1877-1884

Abstract: 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.

Keywords: Agroterrorism; Cyber-terrorism; Intelligence; Authorship attribution; Digital shadow; Text mining (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:80:y:2013:i:9:p:1877-1884

DOI: 10.1016/j.techfore.2013.06.008

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