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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42237

Comprehensive WIFI Network Scanning And Deauthenticator Tool

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42237

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem42237

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

PSDiK

Pagadala Subha Dharan i Kumar

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Abstract

Wi-Fi networks are a common target for various types of attacks, threatening the security and privacy of users. Traditional Wi-Fi network scanning and deauthentication tools rely on centralized models or manual intervention, which often leads to limited functionality, slow response times, and inefficiencies. This research presents a comprehensive Wi-Fi network scanning and deauthentication tool designed to address these challenges by integrating advanced scanning capabilities and automated deauthentication techniques. The proposed tool utilizes real-time data collection from multiple network interfaces, providing an in-depth analysis of available Wi- Fi networks, detecting unauthorized devices, and performing targeted deauthentication attacks. The system is evaluated through extensive testing across diverse network environments, demonstrating enhanced detection accuracy, real-time attack execution, and improved network security management. The tool’s ability to provide both active and passive scanning modes offers flexibility in security assessments, making it a valuable asset for cybersecurity professionals.

KEYWORDS

Wi-Fi Network Scanning Deauthentication Tool Network Security Cybersecurity Real-time Detection Attack Mitigation.1. Introduction

Cite This Article

Pagadala Subha Dharan i Kumar, "Comprehensive WIFI Network Scanning And Deauthenticator Tool," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/ijsrem42237

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Publication Date

3/11/2025

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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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