Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques

Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques

The proliferation of malicious webpages presents a growing threat to online security, necessitating advanced detection methods to mitigate risks. This paper proposes a novel approach that integrates Natural Language Processing (NLP) techniques with an ensemble of machine learning models for the proa...

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Bibliographic Details
Main Authors: Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S
Format: Article
Language:English
Published: University of Zagreb, Faculty of organization and informatics 2024-01-01
Series:Journal of Information and Organizational Sciences
Subjects:
Count
Term frequency and Inverse document frequency
Machine learning model
Phishing
Malicious webpages
Online Access:https://hrcak.srce.hr/file/471912
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https://hrcak.srce.hr/file/471912

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