GIBSON, Helen, RAMWELL, Steve and DAY, Tony (2017). Analysis, interpretation and validation of open source 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, 95-110.
Full text not available from this repository.Abstract
A key component for turning open source data and information into open source intelligence occurs during the analysis and interpretation stages. In addition, verification and validation stages can turn this OSINT into validated OSINT, which has a higher degree of credibility. Due to the wide range of data types that can be extracted from open information sources, the types of data analysis that can be performed on this data is specific to the type of data that we have. This chapter presents a set of analysis processes that can be used when encountering specific types of data regardless of what that data is concerning. These methods will assist an open source investigator in getting the most from their data as well as preparing it for further analysis using visualisation and visual analytics techniques for exploration and presentation.
Item Type: | Book Section |
---|---|
Additional Information: | Series ISSN: 1613-5113 |
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_7 |
Page Range: | 95-110 |
Depositing User: | Helen Gibson |
Date Deposited: | 18 Jan 2017 10:23 |
Last Modified: | 18 Mar 2021 17:45 |
URI: | https://shura.shu.ac.uk/id/eprint/14726 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year