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Application Based on Fuzzy Logic to Detect and Prevent Cyberbullying Through Smartphones

Authors

Jose A. Concepcion-Sanchez, Pino Caballero-Gil and Jezabel Molina-Gil, University of La Laguna, Spain

Abstract

Derived from bullying, cyberbullying is a new problem that is spreading because of the many advances in technology, like the Internet and smartphones, affecting especially to the world's youth population. Currently, there are some studies to investigate their effects on victims or suggest different solutions to detect it. However, a definitive tool that can detect and prevent this harassment is no yet available. For this reason, this paper proposes a novel mobile application for smartphones that will allow detecting whether a person is being a victim of cyberbullying. For this, the application is based on a set of data processing techniques and fuzzy logic that make up a system for decision making, capable of detecting harassment effectively. In addition, this paper also includes some experimental results obtained by performing cyberbullying detection tests with the application.

Keywords

Cyberbullying, Fuzzy Logic, Data Processing, Mobile Application, Security

Full Text  Volume 7, Number 16