Novel interpretable and robust web-based AI platform for phishing email detection

Novel interpretable and robust web-based AI platform for phishing email detection

<p dir="ltr">Phishing emails continue to pose a significant threat, causing financial losses and security breaches. This study addresses limitations in existing research, such as reliance on proprietary datasets and lack of real-world application, by proposing a high-performance mach...

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Bibliographic Details
Main Author: Abdulla Al-Subaiey (19757007) (author)
Other Authors: Mohammed Al-Thani (4000229) (author), Naser Abdullah Alam (19757010) (author), Kaniz Fatema Antora (19757013) (author), Amith Khandakar (14151981) (author), SM Ashfaq Uz Zaman (19757016) (author)
Published: 2024
Subjects:
Information and computing sciences
Cybersecurity and privacy
Data management and data science
Machine learning
Phishing emails
Machine learning model
Email classification
Dataset
Explainable AI
User trust
Web-based application
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