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September 10, 2025Journal of Cybersecurity and PrivacyOpen Access

Predicting Cybersecurity Incidents via Self-Reported Behavioral and Psychological Indicators: A Stratified Logistic Regression Approach

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Authors

LBLászló Bognár

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Overview

Stratified analysis predicts cybersecurity incidents using psychological and behavioral indicators, highlighting practical applications.

Key Points

  • Models improved prediction of cybersecurity incidents by capturing behavioral and contextual specificity, leading to better insights.
  • Survey data from 453 professionals revealed predictions for multiple outcomes, with suspicious logins yielding robust results.
  • The logistic regression approach utilized item-level indicators rather than aggregates, increasing interpretability and transparency.
  • This framework integrates demographic fairness, ensuring ethical deployment of models within diverse organizational contexts.

Cite This Study

László Bognár (2025) studied this question.

synapsesocial.com/papers/68c192579b7b07f3a0616daahttps://doi.org/10.3390/jcp5030067
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