Open AccessAdaptive method of similarity detection of user profiles on online social networks
Author(s) -
Michał Zabielski,
Zbigniew Tarapata,
Rafał Kasprzyk
Publication year - 2019
Publication title -
biuletyn wojskowej akademii technicznej
Language(s) - English
Resource type - Journals
ISSN - 1234-5865
DOI - 10.5604/01.3001.0013.3002
Subject(s) - computer science , cloning (programming) , similarity (geometry) , graph , process (computing) , context (archaeology) , data mining , theoretical computer science , human–computer interaction , world wide web , artificial intelligence , geography , archaeology , operating system , image (mathematics) , programming language
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.