Abstract
© 2018 Elsevier Ltd Open-source intelligence (OSINT) is intelligence collected from publicly available sources to meet specific intelligence requirements. This paper proposes a new method to localise and profile the movement of social network users through OSINT and machine learning techniques. Analysis of obtained OSINT social networks posts data from targeted users, suggests that it is possible to extract information such as their approximate location, leading also to the profiling of their movement, without using any supported Global Navigation Satellite System functionality which may be passed to the social network through a capable smart device. The ability to profile a target's movement activity could allow anyone to track a social network user or predict his or her future location. Moreover, in this work, we also demonstrate that information from social networks can be extracted relatively in real time, thus targeted users are prone to lose any sense of physical privacy.
DOI
10.1016/j.cose.2018.10.009
Publication Date
2019-03-01
Publication Title
Computers and Security
Volume
81
Publisher
Elsevier
ISSN
0167-4048
Embargo Period
2024-11-22
First Page
49
Last Page
57
Recommended Citation
Pellet, H., Shiaeles, S., & Stavrou, S. (2019) 'Localising social network users and profiling their movement', Computers and Security, 81, pp. 49-57. Elsevier: Available at: https://doi.org/10.1016/j.cose.2018.10.009
