Secure Email Verification over Phishing Attacks
Year: 2025
Type: article
Abstract: The internet is an essential part of daily life, making data security a crucial concern. Phishing remains one of the most common and harmful cyber-attacks, often delivered through fraudulent emails designed to deceive users. This paper presents a secure email verification model that utilizes Natural Language Processing (NLP) and Machine Learning to identify and block phishing emails before they reach users. The proposed system detects suspicious linguistic patterns and malicious content, preventing access to phishing messages in real time. This proactive approach enhances email security and protects users from potential cyber threats.
Authors: Nithiya, C, Nisha, M, Ponmurugan, K, Sandanaraj, V
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7093085144
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