On Phishing: URL Lexical and Network Traffic Features Analysis and Knowledge Extraction using Machine Learning Algorithms (A Comparison Study)-Reference-Cited by-同舟云学术

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On Phishing: URL Lexical and Network Traffic Features Analysis and Knowledge Extraction using Machine Learning Algorithms (A Comparison Study)

Published:2022-07-22 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Data Science and Information Technology (DSIT)
language:
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Author:

Fadheel Wesam¹,Al-Mawee Wassnaa¹,Carr Steve¹

Affiliation:

1. Western Michigan University,Department of Computer Science,Kalamazoo,USA,MI 49008

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9943793/9943812/09943832.pdf?arnumber=9943832

Reference19 articles.

1. An Unsupervised Feature Selection for Web Phishing Data using an Evolutionary Approach

2. Detecting Malicious URLs Using Lexical Analysis

3. Phishing Websites Data Set;mohammad;UCI Machine Learning Repository Phishing Websites Data Set,2015

4. Detecting Malicious URLs Using Lexical Analysis;mohammad;Network and System Security Springer International Publishing,2016

Cited by 2 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. Classification of Malicious URLs Using Naive Bayes and Genetic Algorithm;Sakarya University Journal of Computer and Information Sciences;2023-08-31

2. On Phishing: Proposing a Traffic Behavior-Based Model to Detect, Prevent, and Classify Webpage Suspicious and Malicious Activities;2023 IEEE 2nd International Conference on AI in Cybersecurity (ICAIC);2023-02-07

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