A malicious URLs detection system using optimization and machine learning classifiers
The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. An attacker performs the cyber-attacks on Web using malware Uniform Resource Locators (URLs) since it widely used by internet users. Therefore, a significant approach is required to detect malicious URLs and identify...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40105/1/A%20malicious%20URLs%20detection%20system%20using%20optimization%20and%20machine.pdf http://umpir.ump.edu.my/id/eprint/40105/ https://doi.org/10.11591/ijeecs.v17.i3.pp1210-1214 https://doi.org/10.11591/ijeecs.v17.i3.pp1210-1214 |
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