New Heuristics Method for Malicious URLs Detection Using Machine Learning
Malicious URLs are a very prominent, dangerous form of cyber threats in view of the fact that they can enable many evils like phishing attacks, malware distribution, and several other kinds of cyber fraud. The techniques of detection conventionally applied are based on blacklisting and heuristic an...
Saved in:
Main Author: | Maher Kassem Hasan |
---|---|
Format: | Article |
Language: | English |
Published: |
College of Computer and Information Technology – University of Wasit, Iraq
2024-09-01
|
Series: | Wasit Journal of Computer and Mathematics Science |
Subjects: | |
Online Access: | http://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/267 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Efficient segment pattern based method for malicious URL detection
by: Hai-lun LIN, et al.
Published: (2015-11-01) -
Light-weight self-learning approach for URL classification
by: Hong-zhou SHA, et al.
Published: (2014-09-01) -
APPLYING THE AUTOENCODER MODEL FOR URL PHISHING DETECTION
by: Dang Thi Mai
Published: (2024-12-01) -
A Multi-Method Comparison of Machine Learning in predicting pharmacokinetic parameters: A simulation study
by: marziyeh Doostfatemeh, et al.
Published: (2024-12-01) -
Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach
by: Umm-e-Laila Mehdi, et al.
Published: (2024-12-01)