Detecting Phishing Websites using Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Detecting Phishing Websites using Machine Learning Algorithm

Published:2023-02-23 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Computing Methodologies and Communication (ICCMC)
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Author:

Kathiravan M.¹,Rajasekar V.²,Parvez Shaik Javed³,Durga V. Sathya¹,Meenakshi M.¹,Gowsalya S.¹

Affiliation:

1. Hindustan Institute of Technology and Science (Deemed to be University),Computer Science and Engineering,Chennai,India

2. SRM Institute of Science and Technology,Computer Science and Engineering, Faculty of Engineering and Technology, Vadapalani,Chennai,India

3. Hindustan Institute of Technology and Science (Deemed to be University),Department of Information Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10083318/10083503/10083999.pdf?arnumber=10083999

Reference16 articles.

1. Utilisation of website logo for phishing detection

2. Spoofed URL detection using URL ranking;feroz;2018 IEEE International Congress on Big Data,2018

3. Spoofed URL detection: a machine learning and web mining-based approach;sananse;International Journal of Computer Applications,2018

4. Spoofed websites detection through supervised learning networks;singh;2015 International Conference on Computing and Communications Technologies (ICCCT),2018

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