Detect and Prevent URL Phishing through Li-Fi technology via FSO Channel

Due to the pressing demand for advanced 6G and beyond communications technology that can effectively handle large-scale requirements with utmost security and efficiency. With the growth and spread of companies and institutions that deal with a large amount of data, protecting data and ensuring privacy has become a basic requirement. Actual reality and recent research have shown a significant increase in phishing scams. This research seeks to develop the security level of Li-Fi technology by detecting and preventing phishing activities. It is adopted to inspect URL links transmitted over the network before they reach the end user. The proposed system was tested using two-layer algorithms to detect and prevent hacking and phishing. The performance of the proposed system was examined on Li-Fi technology via FSO under different weather conditions. The proposed system has demonstrated ambitious results in implementing tasks successfully and effectively.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/cyberc62439.2024.00035
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Detect and Prevent URL Phishing through Li-Fi technology via FSO Channel

Mohammed M. Ahmed, Satea Hikmat Alnajjar
Spam and Phishing Detection
article

Detect and Prevent URL Phishing through Li-Fi technology via FSO Channel

Mohammed M. Ahmed, Satea Hikmat Alnajjar
article en

Abstract

Due to the pressing demand for advanced 6G and beyond communications technology that can effectively handle large-scale requirements with utmost security and efficiency. With the growth and spread of companies and institutions that deal with a large amount of data, protecting data and ensuring privacy has become a basic requirement. Actual reality and recent research have shown a significant increase in phishing scams. This research seeks to develop the security level of Li-Fi technology by detecting and preventing phishing activities. It is adopted to inspect URL links transmitted over the network before they reach the end user. The proposed system was tested using two-layer algorithms to detect and prevent hacking and phishing. The performance of the proposed system was examined on Li-Fi technology via FSO under different weather conditions. The proposed system has demonstrated ambitious results in implementing tasks successfully and effectively.

Iraqi University (IQ)
Openalex Percentile: Top 66%
Spam and Phishing Detection
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