Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 12, Issue 2


Published
on

April 5, 2021


Pages

369-372


DOI

Article

Detecting Phishing Attacks using NLP


Authors

T.h.feiroz Khan Affiliation:
Department of Computer Science & Engineering, SRM Institute of Science & Technology, Ramapuram, Chennai, India
and Anwar Basha H Affiliation:
Department of Computer Science & Engineering, SRM Institute of Science & Technology, Vadapalani, Chennai, India


Abstract

In present world phishing attacks are the most common and easily targeted attacks. In order to analyse texts and detect improper statements that show the phishing attacks, we have come with an idea which will use (NLP) Natural language processing techniques. Compared to previous work, our approach is different because the emphasis is on the text data found in the attack, which is semanticized in order to identify malicious intent. We have evaluated it using a huge phishing e -mail test data to illustrate the efficacy of our strategy.


Keywords

Phishing attacks, Machine learning, Natural Language Processing


Citation

Khan, T. & H, A. B. (2021). Detecting phishing attacks using NLP. Turkish Journal of Computer and Mathematics Education, 12(2), 369–372.

Published by: Engineering Journals

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