Use cases and best practices for LEAs

RAMWELL, Steve, DAY, Tony and GIBSON, Helen (2017). Use cases and best practices for LEAs. In: AKHGAR, Babak, BAYERL, Petra S. and SAMPSON, Fraser, (eds.) Open source intelligence investigation: from strategy to implementation. Advanced Sciences and Technologies for Security Applications . Cham, Springer International Publishing, 197-211.

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3...
Link to published version:: https://doi.org/10.1007/978-3-319-47671-1_13
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    Abstract

    The dramatic increase in the use and proliferation of the internet over the last 15–20 years has seen increasingly large amounts of personal information made, not necessarily intentionally, available online. Consequently, law enforcement agencies have recognised they must open their eyes to this information and begin to use it to their advantage, especially since one of the key benefits of utilising open source information is that it is significantly less expensive to collect than other intelligence. This chapter illustrates how OSINT has become increasingly important to LEAs. It discusses how those carrying out open source intelligence investigation work online might best go about such a practice through the use of specific techniques and how an officer may protect themselves while carrying out such an investigation. It further presents exemplar case studies in how these best practices may, or already have been, exploited in order to bring about tangible results in real investigations.

    Item Type: Book Section
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1007/978-3-319-47671-1_13
    Page Range: 197-211
    Depositing User: Helen Gibson
    Date Deposited: 18 Jan 2017 13:39
    Last Modified: 13 Jun 2017 13:56
    URI: http://shura.shu.ac.uk/id/eprint/14731

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