Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
<|reference_start|>Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection: 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 machine learning model for email classification. Utilizing a comprehensive and largest available public dataset, the model achieves a f1 score of 0.99 and is designed for deployment within relevant applications. Additionally, Explainable AI (XAI) is integrated to enhance user trust. This research offers a practical and highly accurate solution, contributing to the fight against phishing by empowering users with a real-time web-based application for phishing email detection.<|reference_end|>
@article{al-subaiey2024novel,
    title={Novel Interpretable and Robust Web-based AI Platform for Phishing Email
  Detection},
    author={Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, Kaniz
  Fatema Antora, Amith Khandakar, SM Ashfaq Uz Zaman},
    journal={arXiv preprint arXiv:2405.11619},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.11619},
    primaryClass={cs.LG cs.AI}
}