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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42237
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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 toolâs ability to provide both active and passive scanning modes offers flexibility in security assessments, making it a valuable asset for cybersecurity professionals.
KEYWORDS
Publication Date
3/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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