Neutrosophic statistical analysis on cyber risks of university students based on social network usage

Abstract

The present research leads college students to be aware of the cyber risks to which they are exposed through their constant use of social networks; some of the most common risks include exposure of personal information, online harassment, cyber extortion, identity theft, and the spread of malware through phishing messages and other cyber attacks. College students may be especially vulnerable due to their relative inexperience in using social networks and their tendency to share personal information online. The objective of the research is to conduct a neutrosophical statistical analysis on cyber risks of college students based on the use of social networks. The research followed the postulates of non-experimental studies of cross-sectional and descriptive type. A set of theoretical, empirical and mathematical statistical methods and techniques were selected. These allowed the collection of data from different sources and with the help of a neutrosophic algorithm, it was possible to obtain more robust results. All of the above offers a high level of validity to the results obtained in this research.