Efficient segment pattern based method for malicious URL detection
An efficient segment based method for detecting malicious URL was proposed.Firstly it analyzed the annotated malicious URLs in terms of three semantic segments,i.e.,domain segment,path segment and file segment.Secondly it quickly calculated the common pattern of each semantic segment exploiting the...
Saved in:
Main Authors: | Hai-lun LIN, Yan LI, Wei-ping WANG, Yin-liang YUE, Zheng LIN |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2015-11-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015293/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New Heuristics Method for Malicious URLs Detection Using Machine Learning
by: Maher Kassem Hasan
Published: (2024-09-01) -
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) -
Detection of malicious domain name based on a classifier combination
by: Jiantao SHENG, et al.
Published: (2020-05-01) -
Malicious DNS traffic detection based neural networks
by: SHAN Kangkang, et al.
Published: (2024-11-01)