Phishing Web Page Detection Using N-gram Features Extracted From URLs-Reference-Cited by-同舟云学术

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Phishing Web Page Detection Using N-gram Features Extracted From URLs

Published:2021-06-11 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Korkmaz Mehmet,Kocyigit Emre,Sahingoz Ozgur Koray,Diri Banu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9461248/9461182/09461378.pdf?arnumber=9461378

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. More than Words is What you Need - Detecting DGA and Phishing Domains with Dom2Vec Word Embeddings;2024 8th Network Traffic Measurement and Analysis Conference (TMA);2024-05-21

2. DeepD2V - Deep Learning and Domain Word Embeddings for DGA based Malware Detection;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

3. PhishGuard: A Convolutional Neural Network-Based Model for Detecting Phishing URLs with Explainability Analysis;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

4. Unsupervised Clustering for a Comparative Methodology of Machine Learning Models to Detect Domain-Generated Algorithms Based on an Alphanumeric Features Analysis;Journal of Network and Systems Management;2024-01

5. Detection of Phishing Websites Using Machine Learning;SSRN Electronic Journal;2024

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