Malicious URL classification using artificial fish swarm optimization and deep learning
Cybersecurity-related solutions have become familiar since it ensures security and privacy against cyberattacks in this digital era. Malicious Uniform Resource Locators (URLs) can be embedded in email or Twitter and used to lure vulnerable internet users to implement malicious data in their syst...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| 格式: | Article |
| 语言: | English English |
| 出版: |
Tech Science Press
2023
|
| 主题: | |
| 在线阅读: | http://irep.iium.edu.my/101886/7/101886_Malicious%20URL%20classification%20using%20artificial%20fish%20swarm.pdf http://irep.iium.edu.my/101886/13/101886_Malicious%20URL%20classification%20using%20artificial%20fish%20swarm_SCOPUS.pdf http://irep.iium.edu.my/101886/ http://doi.org/10.32604/cmc.2023.031371 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
因特网
http://irep.iium.edu.my/101886/7/101886_Malicious%20URL%20classification%20using%20artificial%20fish%20swarm.pdfhttp://irep.iium.edu.my/101886/13/101886_Malicious%20URL%20classification%20using%20artificial%20fish%20swarm_SCOPUS.pdf
http://irep.iium.edu.my/101886/
http://doi.org/10.32604/cmc.2023.031371