International Journal of All Research Education & Scientific Methods

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ISSN: 2455-6211

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Developing an NLP-Based System to Detect Phis...

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Developing an NLP-Based System to Detect Phis...

Developing an NLP-Based System to Detect Phishing Attempts in Real-Time

Author Name : O. R. Nanthees, S. V. Suryagandhan, K. Sudharsan, R. Loganathan

ABSTRACT Phishing attacks represent a considerable risk to digital security, targeting both individuals and organizations to illicitly obtain sensitive information via deceptive messages. Conventional methods for combating phishing often depend on blacklists, rule-based strategies, and machine learning algorithms. However, these approaches frequently struggle to adapt to the continuously evolving tactics employed by cybercriminals. This paper introduces a real-time phishing detection system that utilizes Natural Language Processing (NLP) to analyze the textual characteristics of messages, emails, and web pages for accurate identification of phishing content. By incorporating advanced NLP techniques such as word embeddings, contextual analysis, and deep learning frameworks, the proposed system aims to significantly improve detection efficacy. We assess the system’s performance using metrics such as precision, recall, and F1 score, comparing it with existing models to evaluate its effectiveness. Our results demonstrate that the NLP-based approach offers substantial improvements in the identification and mitigation of phishing attempts in real-time.