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Using Lexical Features for Malicious URL Detection -- A Machine Learning
  Approach

Using Lexical Features for Malicious URL Detection -- A Machine Learning Approach

14 October 2019
Apoorva Joshi
L. Lloyd
P. Westin
Srini Seethapathy
ArXiv (abs)PDFHTML

Papers citing "Using Lexical Features for Malicious URL Detection -- A Machine Learning Approach"

5 / 5 papers shown
MeAJOR Corpus: A Multi-Source Dataset for Phishing Email Detection
MeAJOR Corpus: A Multi-Source Dataset for Phishing Email Detection
Paulo Mendes
Eva Maia
Isabel Praça
133
0
0
23 Jul 2025
From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories
From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code RepositoriesComputer Science Review (CSR), 2025
Ye Tian
Yanqiu Yu
Jianguo Sun
Yanbin Wang
AAML
281
5
0
23 Apr 2025
Web Content Filtering through knowledge distillation of Large Language
  Models
Web Content Filtering through knowledge distillation of Large Language Models
Tamás Vörös
Sean P. Bergeron
Konstantin Berlin
203
9
0
08 May 2023
Detection of Malicious Websites Using Machine Learning Techniques
Detection of Malicious Websites Using Machine Learning Techniques
Adebayo Oshingbesan
Courage Ekoh
C. Okobi
A. Munezero
Richard Kagame
88
5
0
13 Sep 2022
Inline Detection of DGA Domains Using Side Information
Inline Detection of DGA Domains Using Side InformationIEEE Access (IEEE Access), 2020
R. Sivaguru
Jonathan Peck
Femi G. Olumofin
A. Nascimento
Martine De Cock
AAML
71
16
0
12 Mar 2020
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