Fusion of OSINT and non-OSINT data

DAY, Tony, GIBSON, Helen and RAMWELL, Stephen (2017). Fusion of OSINT and non-OSINT data. 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, 133-152.

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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_9


Open Source Investigations do not exist in a vacuum. Whether they are law enforcement or intelligence agency driven, private industry or business driven or the work of a private investigator, it is more than likely that the investigations began with some data that is available openly and some that is not. Thus, from the outset the investigation has some open and some closed source information attached to it. As time goes on in the investigation, the police may elicit information from both open and closed source in order to establish the details surrounding the crime and to build their case. This chapter introduces some of the available data sources for developing open source intelligence and for closed source intelligence. It then puts these data sources into context by highlighting some examples and possibilities as to how these different data types and sources may be fused together in order to enhance the intelligence picture. Lastly, it explores the extent to which these potential synergies have already been adopted by LEAs and other companies as well as future possibilities for fusion.

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_9
Page Range: 133-152
Depositing User: Helen Gibson
Date Deposited: 18 Jan 2017 15:47
Last Modified: 18 Mar 2021 17:45
URI: https://shura.shu.ac.uk/id/eprint/14728

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