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Artificial Intelligence Internet Monitoring to Detect and Solve Crimes

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 111))

Abstract

Purpose: The purpose of the chapter it to develop the so-called “Internet law enforcement” to monitor the Internet in order to detect and solve crimes. Design/methodology/approach: The author defines the features of the system, which could, without human intervention, on the principle of virus infection of computers and other technical devices that have access to the Internet, check all their contents and, when detecting marked data, signal to the quick response services about suspected crimes (committed, being committed or prepared), are determined. Findings: It is shown that the program “Internet law enforcement” should have various ways of checking sites, pages on social networks, hosts, disks, and various databases. Its work could be observed in real time, as well as the statistics on the results of inspections for further analysis and reporting could be accumulated. Monitoring of the Internet should take place continuously, with a quick response to the detection of suspicious transmitted or stored data. If necessary, the program should be able to block the transfer of data or the operation of a computer device until the circumstances are clarified and the law enforcement authorities remove the lock. Originality/value: The so-called “Internet law enforcement” program should not allow to read or guess the semantic load of phrases, interpret expressions or plots, but only highlight and fix the necessary communication segments. Such information will not violate the constitutional rights of citizens, and could be used to conduct further full-scale operational-search measures.

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Correspondence to Sergey V. Zuev .

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Zuev, S.V. (2020). Artificial Intelligence Internet Monitoring to Detect and Solve Crimes. In: Kolmykova, T., Kharchenko, E. (eds) Digital Future Economic Growth, Social Adaptation, and Technological Perspectives. Lecture Notes in Networks and Systems, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-39797-5_61

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  • DOI: https://doi.org/10.1007/978-3-030-39797-5_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39796-8

  • Online ISBN: 978-3-030-39797-5

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