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...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Tech Science Press
2023
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| Subjects: | |
| Online Access: | 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 |
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