LATIDIA · Ciberseguridad
Detección de la seguridad de las contraseñas mediante aprendizaje automático: análisis, modelado y evaluación.
arXiv: 2505.16439v3Tipo de anuncio: reemplazar Resumen: A medida que los problemas de seguridad de la red continúan ganando importancia, la seguridad de las contraseñas se ha vuelto crucial para salvaguardar la información personal y los sistemas de red. Este estudio primero
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arXiv:2505.16439v3 Announce Type: replace Abstract: As network security issues continue gaining prominence, password security has become crucial in safeguarding personal information and network systems. This study first introduces various methods for system password cracking, outlines password defense strategies, and discusses the application of machine learning in the realm of password security. Subsequently, we conduct a detailed public password database analysis, uncovering standard features and patterns among passwords. We extract multiple characteristics of passwords, including length, the number of digits, the number of uppercase and lowercase letters, and the number of special characters. We then experiment with six different machine learning algorithms: support vector machines, logistic regression, neural networks, decision trees,