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: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2020-03-01.
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Online Access: | Get fulltext |
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A1234.567 |
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Copy 1 | Available |