Authors: Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, Kaniz Fatema Antora, Amith Khandakar, SM Ashfaq Uz Zaman

Published on: May 19, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2405.11619

Summary

• What is new: Introduction of a high-performance machine learning model using public dataset achieving a f1 score of 0.99 with Explainable AI integration.
• Why this is important: Phishing emails causing financial losses and security breaches.
• What the research proposes: A machine learning model for email classification equipped with a real-time web-based application for phishing detection.
• Results: High accuracy in phishing email detection with enhanced user trust through explainable AI.

Technical Details

Technological frameworks used: Machine Learning, Explainable AI

Models used: Email classification models

Data used: Largest available public dataset

Potential Impact

Email security providers, Cybersecurity firms, Financial institutions

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