Analysis of Cybersecurity Risks and Teenage Digital Behavior Patterns

Abstract

As teenagers increasingly engage with digital technology, cybersecurity vulnerabilities present significant risks to their online safety and privacy. Adolescents who lack awareness of secure online practices are particularly vulnerable to malicious actors seeking to exploit them. This paper is an empirical study investigating the relationship between real-world online behavior of teenagers, cybersecurity risks, and device interactions. The primary data set used for this analysis is teenage online behavior and cybersecurity risks. First, we consider demographic information: age, education, time spent online. We correlate this with online behaviors: use of a VPN, type of equipment (computer, mobile), use of public internet, engagement with risky websites. Finally, we analyze the data set using a combination of demographic and behavioral patterns to search for high-risk, negative outcomes. For our research, we analyze teenage online behavior patterns to identify key risk factors, develop predictive models for cybersecurity vulnerabilities, and produce actionable visualizations that illustrate the relationship between digital literacy and online safety. Our findings utilize data and business analytics to provide evidence-based recommendations for parents, educators, and policymakers to enhance teenage cybersecurity awareness and protective strategies.