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Abstract

Network security is a critical aspect of information technology aimed at protecting data and systems from cyber threats. Statistical approaches play a key role in detecting anomalies, measuring efficiency, and predicting security risks. This paper explores the intersection between network security and statistics, emphasizing the use of data analysis and statistical methods to enhance system security. Furthermore, it discusses the challenges posed by big data processing and highlights the importance of machine learning in supporting adaptive security systems. The findings suggest that integrating traditional statistical methods with modern machine learning techniques can improve real-time threat detection and risk management in network security.

Keywords

Keamanan Jaringan; Statistika; Analisis Data; Big Data

How to Cite

Citation Format
Pratama , J. E. A., Farel Manurung , J., Muhamad , R., & Parhusip, J. (2024). Keamanan Jaringan dan Pengaruhnya terhadap Statistika: Pendekatan Analitik dan Praktis. LANCAH: Jurnal Inovasi Dan Tren, 3(1), 7~12. https://doi.org/10.35870/ljit.v3i1.3454

References

5 References
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Author Biographies

Jhosua Ersa Arta Pratama , University of Palangka Raya

Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia

Jhon Farel Manurung , University of Palangka Raya

Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia

Rizki Muhamad , University of Palangka Raya

Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia

Jadiaman Parhusip, University of Palangka Raya

Teknik Informatika, Universitas Palangkaraya, Kota Palangkaraya, Indonesia

License

Copyright (c) 2024 Jhosua Ersa Arta Pratama , Jhon Farel Manurung , Rizki Muhamad , Jadiaman Parhusip

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

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