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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48681

Network Sniffing Tool

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48681

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48681

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

1

1Subramanian.PL

2S

2Kishore S

3BG

3Arjun Babu GG

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Abstract

In today’s interconnected digital landscape, network security and traffic monitoring are critical for ensuring the integrity, confidentiality, and availability of data. A Network Sniffing Tool is a utility designed to capture, analyze, and log packets transmitted over a network. This project presents the design and implementation of a lightweight and efficient network sniffing tool capable of real-time packet inspection, protocol analysis, and traffic visualization. Developed using Python and libraries such as Scapy and Wireshark’s TShark backend, the tool provides insights into network behavior by detecting anomalies, unauthorized access, and potential vulnerabilities. It supports filtering by protocol types (TCP, UDP, ICMP, etc.), source/destination IPs, and ports, thus enabling targeted traffic monitoring. The tool can be utilized for both educational purposes and as a diagnostic aid for network administrators. Emphasis is placed on user-friendly interfaces, logging mechanisms, and adherence to ethical use standards. This work contributes to the growing need for accessible and effective cybersecurity instrumentation.

KEYWORDS

Packet Sniffing Packet Capture Traffic Monitoring Protocol Analysis Network Inspection

Cite This Article

1Subramanian.PL, 2Kishore S, 3Arjun Babu GG, "Network Sniffing Tool," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48681

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Publication Date

5/26/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

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

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No funding information available for this research.

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