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September 29, 2025Jurnal Syntax Transformation

Anomaly Detection in VPN (Virtual Private Network) Access Using Machine Learning Algorithms

Ari Budi Prasetiyo Hari Soetanto Danang Harito Wibowo

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Key Points

Anomaly Detection improves safety by identifying unusual VPN access patterns, enhancing digital security.
Utilized Machine Learning algorithms to analyze VPN access characteristics effectively, improving detection rates.
Qualitative-descriptive research on architecture informs advanced Machine Learning applications in digital contexts.
Machine Learning utilization highlights the need for continuous adaptation in digital security strategies against evolving threats.

Implication

Qualitative-descriptive research explores anomaly detection in VPN access, suggesting machine learning may enhance security measures.

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Cite This Study

Prasetiyo et al. (2025) studied this question.

synapsesocial.com/papers/68ff87f1c8c50a61f2bdd690 https://doi.org/10.46799/jst.v6i9.1109

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