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Diagnosis Model for Detection of e-threats Against Soft-Targets

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Information Systems and Technologies (WorldCIST 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 800))

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Abstract

Threats online - internet, social media platforms, blogs - has risen with development of cybernetics tools of communication. Since the threats against soft targets are recurrent on cyberspace, the focus becomes an e-threat. This paper aims to contribute to construct a roadmap to apprehend e-threats against soft targets, considering the triangle ground of coexistence – normative, empirical and theoretical. An all-inclusive guide amalgamates the concepts of e-threats detections, risk, IA, soft targets, is developed to understand processes. The awareness of the added-value and the limitations of the integration of this technology in policing, is an initiative whose enforcement is legitimized and stranded in a simple concept of security. Despite the IA advances, and its efficiency for detection, the process is complex, because deceptive behaviour has a multidimensional nature. Our analysis reveals that the disruptive potential of e-threats of soft targets is tackled and some orientations are given to guarantee the safety and security of crowds.

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Author information

Authors and Affiliations

  1. Research Center (ICPOL), Lisbon, Portugal

    Sónia M. A. Morgado, Margarida Carvalho & Sérgio Felgueiras

  2. Instituto Superior de Ciências Policiais e Segurança Interna, Lisbon, Portugal

    Sónia M. A. Morgado, Margarida Carvalho & Sérgio Felgueiras

  3. CIEQV - Life Quality Research Center, Santarém, Portugal

    Sónia M. A. Morgado

  4. Centre for Public Administration and Public Policies, Institute of Social and Political Sciences, Universidade de Lisboa, Lisbon, Portugal

    Sérgio Felgueiras

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  1. Sónia M. A. Morgado
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  2. Margarida Carvalho
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  3. Sérgio Felgueiras
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Corresponding author

Correspondence to Sónia M. A. Morgado .

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Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Cávado, Portugal

    Alvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy

    Valentina Colla

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Morgado, S.M.A., Carvalho, M., Felgueiras, S. (2024). Diagnosis Model for Detection of e-threats Against Soft-Targets. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_24

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