A framework for agro-terrorism intentions detection using overt data sources |
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Authors: | Eli Rohn Gil Erez |
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Institution: | 1. Information Systems Engineering Department, Ben Gurion University of the Negev, Beersheba, Israel;2. Head of The Counter Agro Terrorism Research Center, Tel-Aviv, Israel |
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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. |
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Keywords: | Agroterrorism Cyber-terrorism Intelligence Authorship attribution Digital shadow Text mining |
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