International Journal of Technology and Applied Science

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Intelligent Email Threat Detection and User Awareness System

Author(s) Mrs.G. Ramya, E. Akhila, G. Sindhu, Karnika Reddy, N. Greeshma
Country India
Abstract Email has become a primary medium for digital communication, but its widespread use has also increased exposure to cyber threats such as spam, phishing, and social engineering attacks. Traditional filtering techniques often fail to identify sophisticated and evolving malicious emails, making users vulnerable to data breaches and financial fraud. This proposes an Intelligent Email Threat Detection and User Awareness System Using Machine Learning, developed as an interactive web-based platform that combines automated email classification with cybersecurity education[5]. Based on learned patterns and suspicious indicators, emails are classified as Safe, Spam, or Phishing. The platform provides interpretable outputs including threat insights, confidence scores, and recommended actions to help users respond appropriately. In addition to detection, the system enhances user awareness through interactive modules such as a threat dashboard, awareness quiz, and email summarization feature. These components help users understand risks, learn safe practices, and quickly interpret long email messages. This solution improves threat detection accuracy while promoting proactive cybersecurity behavior, offering a scalable and user-centric approach to secure digital communication [2][4][8].
Keywords Machine Learning, Email Threat Detection, Phishing Detection, Cybersecurity Awareness, Natural Language Processing, Web-Based Security System.
Field Engineering
Published In Volume 17, Issue 4, April 2026
Published On 2026-04-12
Cite This Intelligent Email Threat Detection and User Awareness System - Mrs.G. Ramya, E. Akhila, G. Sindhu, Karnika Reddy, N. Greeshma - IJTAS Volume 17, Issue 4, April 2026. DOI 10.71097/IJTAS.v17.i4.1256
DOI https://doi.org/10.71097/IJTAS.v17.i4.1256
Short DOI https://doi.org/hbxc4s
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