Localising social network users and profiling their movement

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 OSI...

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Bibliographic Details
Published inComputers & security Vol. 81; pp. 49 - 57
Main Authors Pellet, Hector, Shiaeles, Stavros, Stavrou, Stavros
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 01.03.2019
Elsevier Sequoia S.A
Subjects
Facebook
Geo-Location
Global navigation satellite system
Instagram
Intelligence gathering
Machine Learning
Natural Language Processing
Navigation satellites
OSINT
Social Media
Social networks
Twitter
Social Media
Natural Language Processing
Twitter
Instagram
Geo-Location
OSINT
Facebook
Machine Learning
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Summary: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.
ISSN:0167-4048
1872-6208
DOI:10.1016/j.cose.2018.10.009