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NETWORK MONITORING SYSTEM

Ms. K. Dhivya, Bharathi. A.K, Deepika. P, Dharshana. S, Pravishka. D

Abstract


In today’s digitally connected world, maintaining the stability, performance, and security of computer networks has become crucial for organizations and individuals alike. This project presents a network monitoring system designed to observe, analyze, and report network activities in real time. the system continuously tracks parameters such as bandwidth usage, connected devices, latency, and packet transmission rates to identify irregularities or potential failures. It offers a user-friendly interface that enables administrators to visualize network performance metrics and take timely actions to mitigate issues like congestion or downtime. By automating the process of monitoring and alert generation, the system enhances operational efficiency, minimizes manual intervention, and ensures optimal network performance. This solution is scalable and adaptable, making it suitable for educational institutions, small businesses, and enterprise environments

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References


Z. Yang, Y. Jin, J. Liu, X. Xu, Y. Zhang, and S. Ji, "Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models," arXiv preprint arXiv:2504.17807, Apr. 2025.

H. J. Yoon, M. Kiran, D. Ebling, and J. Breen, "OFCnetLLM: Large Language Model for Network Monitoring and Alertness," arXiv preprint arXiv:2507.22711, Jul. 2025.

G. Bovenzi, "Mapping the Landscape of Generative AI in Network Monitoring," arXiv preprint arXiv:2502.08576, Feb. 2025.

M. Kotuliak, "Low-Latency and Scalable Monitoring of Cellular Connections," arXiv preprint arXiv:2509.25430, Sep. 2025.

I. B. Fink, "Advancing Network Monitoring with Packet-Level Records,"

arXiv preprint arXiv:2505.12345, May 2025.

F. Xu, "Intelligent Analysis Algorithm for Hidden Danger Detection in Network Monitoring Systems," Journal of Computational Intelligence and Security, vol. 15, no. 3, pp. 45–58, Mar. 2025.

H. Zhang, "Leveraging Large Language Models for Network Attack Detection," arXiv preprint arXiv:2506.16981, Jun. 2025.

Z. Yang, Y. Jin, J. Liu, X. Xu, Y. Zhang, and S. Ji, "Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models," arXiv preprint arXiv:2504.17807, Apr. 2025.

P. Zambare, V. N. Thanikella, N. P. Kottur, S. A. Akula, and Y. Liu, "NetMoniAI: An Agentic AI Framework for Network Security & Monitoring," arXiv preprint arXiv:2508.10052, Aug. 2025.

P. Zambare, V. N. Thanikella, and Y. Liu, "Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System," arXiv preprint arXiv:2508.10043, Aug. 2025.


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