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Criticality assessment of terrorism related events at different time scales

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Abstract

This work presents the TENSOR (clusTEriNg terroriSm actiOn pRediction) framework, a near real-time reasoning framework for early identification and prediction of potential threat situations (e.g. terrorist actions). The framework consists of three different modules with the aim of collecting and processing information of the surrounding environment from a variety of sources including physical sensors (e.g. surveillance cameras) and humans (e.g. police officers). The main objective of TENSOR is to show how patterns of strategic terroristic behaviors, identified analyzing large longitudinal data sets, can be linked to short term activity patterns identified analyzing feeds by “usual” surveillance technologies and that this fusion allows a better detection of terrorist threats. This information is processed at different abstraction levels and, thru the proposed layered architecture, TENSOR simulates the three main expert user roles (i.e. operational, tactical and strategic user roles), as indicated in the intelligence analysis domain literature. TENSOR transforms all the sensors gathered data into symbolic events of interest following a generic scenario-agnostic semantics for terrorist attacks described in literature as terrorist indicators. Thru different reasoning and fusion techniques, the framework proactively detects threats and depicts the situation in near real-time.

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Acknowledgments

Part of this work has been carried out in the scope of the PROACTIVE project (FP7-285320) (http://www.proactive-project.eu). The authors acknowledge help and contributions from all partners of the project.

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Authors and Affiliations

  1. Consorzio Milano Ricerche, Via Roberto Cozzi, 53, 20125, Milan, Italy

    Raul Sormani, Francesco Archetti & Ilaria Giordani

  2. Department of Computer Science, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126, Milan, Italy

    Raul Sormani & Francesco Archetti

Authors
  1. Raul Sormani
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  2. Francesco Archetti
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  3. Ilaria Giordani
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Correspondence to Raul Sormani.

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Sormani, R., Archetti, F. & Giordani, I. Criticality assessment of terrorism related events at different time scales. J Ambient Intell Human Comput 8, 9–27 (2017). https://doi.org/10.1007/s12652-016-0416-x

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  • DOI: https://doi.org/10.1007/s12652-016-0416-x

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