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FaceWallGraph: using machine learning for profiling user behaviour from Facebook Wall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Facebook represents the current de-facto choice for social media, changing the nature of social relationships. The increasing amount of personal information that runs through this platform publicly exposes user behaviour and social trends, allowing aggregation of data through conventional intelligence collection techniques such as OSINT (Open Source Intelligence). In this paper, we propose a new method to detect and diagnose variations in overall Facebook user psychology through Open Source Intelligence (OSINT) and machine learning techniques. We are aggregating the spectrum of user sentiments and views by using N-Games charts, which exhibit noticeable variations over time, validated through long term collection. We postulate that the proposed approach can be used by security organisations to understand and evaluate the user psychology, then use the information to predict insider threats or prevent insider attacks.

Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings
EditorsOlga Galinina, Sergey Andreev, Yevgeni Koucheryavy, Sergey Balandin
PublisherSpringer
Pages125-134
Number of pages10
ISBN (Print)9783030308582
DOIs
Publication statusPublished - 12 Sep 2019
Event19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019 - St. Petersburg, Russian Federation
Duration: 26 Aug 201928 Aug 2019

Publication series

NameLecture Notes in Computer Science
Volume11660
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2019, and 12th Conference on Internet of Things and Smart Spaces, ruSMART 2019
CountryRussian Federation
CitySt. Petersburg
Period26/08/1928/08/19

Documents

  • FaceWallGrap

    Rights statement: This is a post-peer-review, pre-copyedit version of an article published in Galinina O., Andreev S., Balandin S., Koucheryavy Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2019, ruSMART 2019. Lecture Notes in Computer Science, vol 11660.. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-30859-9_11.

    Accepted author manuscript (Post-print), 483 KB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 15934296