Adaptive method of similarity detection of user profiles on online social networks

Journal Title: Bulletin of the Military University of Technology - Year 2019, Vol 68, Issue 2

Abstract

The paper presents a method, based on graph and network theory, which allows to detect cloned user profiles on Online Social Networks. Moreover, an idea of similarity containers, which gives an opportunity to incorporate importance and context of data into a model, was introduced. The presented solutions were adapted to the idea of simulation environment, which will allow to detect a profile cloning process before that activity will be completely performed by an attacker. Keywords: Online Social Networks, user profile cloning, violation of privacy on the web.<br/><br/>

Authors and Affiliations

Michał Zabielski, Zbigniew Tarapata, Rafał Kasprzyk

Keywords

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  • EP ID EP609356
  • DOI 10.5604/01.3001.0013.3002
  • Views 90
  • Downloads 0

How To Cite

Michał Zabielski, Zbigniew Tarapata, Rafał Kasprzyk (2019). Adaptive method of similarity detection of user profiles on online social networks. Bulletin of the Military University of Technology, 68(2), 43-57. https://europub.co.uk/articles/-A-609356