Malicious URL Recognition Based on Multi-feature Fusion and Machine Learning-Reference-Cited by-同舟云学术

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Malicious URL Recognition Based on Multi-feature Fusion and Machine Learning

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
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Author:

Ma Changyou¹,Wu Aimin²,Ma Wenzhuo³,Chen Ke³,Liu Yun³,Liang Xiaoning¹

Affiliation:

1. Neijiang Normal University,Data Recovery Key Laboratory of Sichuan Province,Neijiang,China,641100

2. College of Big Data & Intelligent Engineering, Chongqing College of International Business and Economics,Chongqing,China,401520

3. College of Artificial Intelligence, Southwest University,Chongqing,China,410075

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902389.pdf?arnumber=9902389

Reference16 articles.

1. Identifying suspicious URLs

2. Learning to detect malicious URLs

3. A SVM-based Technique to Detect Phishing URLs

4. A Comparison of Machine Learning Attributes for Detecting Malicious Websites

5. A Machine Learning Approach for Detecting Malicious Websites using URL Features

Cited by 1 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. Detection of malicious requests aimed at disrupting the availability of cyber-physical systems;ITM Web of Conferences;2024

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