Detecting Phishing Websites using Machine Learning (RNN)

Registration ID: IJNRD_206766

Published ID: IJNRD2310122

DOI: Click Here to Get

Jhanvi Lamba , Arpit Singh , Yash Raj Singh

phishing attacks, Recurrent Neural Networks (RNNs), URLs

The rapid development of the Internet and increasing reliance on online services are increasing the threat of phishing attacks, posing serious financial and privacy violations to individuals and organizations. This research paper presents a comprehensive study of the application of Recurrent Neural Networks (RNNs) for phishing website detection, using the data array to improve accuracy and updating in online fraud detection. The method proposed involves the development of a new phishing detection system that uses the power of RNNs to analyze the physical patterns present in the content and structure of websites. The system architecture combines advanced techniques to extract relevant attributes from URLs, HTML content, and metadata. These features feed into the RNN model, which is designed to capture complex patterns and relationships in data by focusing on the best behavior of distinguishing phishing from legitimate sources. To evaluate the effectiveness of the RNN-based phishing system, a large dataset including real and phishing websites is used for training, validation and testing purposes. Comparative experiments were conducted using various machine learning algorithms, including normal distributions and neural networks, to demonstrate the superiority of RNN models in processing continuous data of phishing attacks.

Published Paper   E-Certificate

Jhanvi Lamba , Arpit Singh , & Yash Raj Singh (October-2023). Detecting Phishing Websites using Machine Learning (RNN). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), b204-b209. https://ijnrd.org/papers/IJNRD2310122.pdf

Volume 8 Issue 10, October-2023

Pages : b204-b209

Paper Reg. ID: IJNRD_206766

Published Paper Id: IJNRD2310122

Downloads: 000121983

Research Area: Computer Science & Technology 

Country: Chennai, Tamil Nadu , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310122.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310122

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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