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Design and Implementation of a Computer Network Log Analysis System Based on Big Data Analytics

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DOI: 10.23977/acss.2024.080607 | Downloads: 73 | Views: 1068

Author(s)

Yiru Zhang 1

Affiliation(s)

1 Cornell Tech, 2 W Loop Rd, New York, NY 10044, USA

Corresponding Author

Yiru Zhang

ABSTRACT

This article meticulously crafts and deploys a comprehensive computer network log analysis system, leveraging advanced big data analytics technologies. Following a rigorous feasibility assessment, the system's architecture was meticulously designed, encompassing robust hardware infrastructure and software components tailored for high-performance processing. The operating environment was optimized to handle massive log data, ensuring scalability and efficiency. The core lies in the five interlocking modules: user authentication ensures secure access; log collection employs distributed techniques for seamless data aggregation; association rule mining uncovers hidden patterns and anomalies through advanced algorithms; security auditing validates log integrity and identifies potential threats; while database management ensures data storage is optimized for both speed and capacity. The system's rigorous functional testing validates its ability to maintain log data integrity, uncover intricate relationships, and bolster log analysis's authenticity and reliability. This achievement not only meets the predefined objectives but also sets a benchmark for future research endeavors in the realm of network log analysis.

KEYWORDS

Big Data, Log Collection, Mapreduce, Log Analysis, P Statistics

CITE THIS PAPER

Yiru Zhang, Design and Implementation of a Computer Network Log Analysis System Based on Big Data Analytics. Advances in Computer, Signals and Systems (2024) Vol. 8: 40-46. DOI: http://dx.doi.org/10.23977/acss.2024.080607.

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