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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP9065

Network Trafficking Visualization: Analysis, Detection and Visualization of Network Traffic for Enhanced Security and Performance

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-

Subject:

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Paper ID:

IJSREMWP9065

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GKY

Gaurav Kumar Yadav

MKR

Mr. Kameshwar Rao

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Abstract

This thesis presents a comprehensive study on network traffic visualization for the purposes of security monitoring and performance analysis. It includes data collection techniques, preprocessing pipelines, visualization strategies, implementation with Python (Scapy, NetworkX, Plotly), and a case study demonstrating anomaly detection via visualization. The document contains practical code examples and a system flowchart.

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Cite This Article

Gaurav Kumar Yadav, Mr. Kameshwar Rao, "Network Trafficking Visualization: Analysis, Detection and Visualization of Network Traffic for Enhanced Security and Performance," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025.

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Publication Date

11/18/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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