International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Phishing Email Detection using AI

Author(s) Mr. Armaan Shoaib Shaik, Mr. Sathish Sanke, Ms. Shirisha Kampati, Mr. Satya Shekhar Varma
Country India
Abstract Phishing emails continue to pose a significant threat, causing financial
losses and security breaches. This solution addresses limitations in
existing applications, such as reliance on proprietary datasets and lack of
real-world application, by proposing a high-performance machine learning
model for email classification. Phishing email detection using Artificial
Intelligence (AI) is an innovative approach against the ever-growing threat
of email-based cyberattacks. This project uses advanced machine learning
algorithms through AI to classify emails into categories such as phishing
and safe.
Real-time analysis capabilities allow it to detect threats in real time;
the continuous learning mechanism by the system allows it to adapt to
new phishing tactics and evolving cybersecurity threats. This is a
significant improvement from conventional methods, with a detection rate
of over 95% while maintaining very low false-positive rates. The solution
includes visualization tools for threat analysis and reporting, which
enables security teams to better understand attack patterns and trends.
This is a highly accurate, scalable and adaptable AI driven solution
with application for use in enterprise email security systems.
Keywords Phishing Detection, Artificial Intelligence, Machine Learning, Email Security, Application Programming Interface (API)
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.44170
Short DOI https://doi.org/g9kfhq
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