Title
Learning URL Embedding for Malicious Website Detection
Abstract
The emergence of artificial intelligence technology has promoted the development of the Internet of Things. However, this promising cyber technology can encounter serious security problems while accessing the internet. A malicious website can disguise itself as a normal website, and obtain users' private information. Thus, it is very important to detect malicious websites using tools such as machi...
Year
DOI
Venue
2020
10.1109/TII.2020.2977886
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Feature extraction,Uniform resource locators,Data mining,Neural networks,Security,Machine learning,Malware
Journal
16
Issue
ISSN
Citations 
10
1551-3203
3
PageRank 
References 
Authors
0.40
0
6
Name
Order
Citations
PageRank
Xiaodan Yan1121.92
Yang Xu2838.64
Baojiang Cui311240.18
Shuhan Zhang4106.28
Taibiao Guo560.81
Chaoliang Li630.40