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Big Data in Policing: Profiling, Patterns, and Out of the Box Thinking

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Trends and Applications in Information Systems and Technologies (WorldCIST 2021)

Abstract

Big Data, being a massive amount of data, which requires technologies, information architecture and systems design, and analytical methods, has a significant impact on modern society and the development of security area strategies. This paper investigates the importance of Big Data in policing and discusses the challenges arising from its appliance to maintain public order. It is presented a theoretical study, based on a literature review in the context of policing that allows the establishment of the construct in which the Portuguese National Public Security developed its own Strategic Information System. For the study, some inclusion and exclusion criteria were used to narrow the gaps for a better understanding of the subject. Even though some questions arise from using the Big Data, such as processing, profiling, parsing algorithms that can conduct excessive normalisations of the data, Big Data is leverage in policing and a tool of predictive policing.

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Correspondence to Sónia M. A. Morgado .

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Morgado, S.M.A., Felgueiras, S. (2021). Big Data in Policing: Profiling, Patterns, and Out of the Box Thinking. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1365. Springer, Cham. https://doi.org/10.1007/978-3-030-72657-7_21

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