URLNet: Learning a URL representation with deep learning for malicious URL detection
Malicious URLs host unsolicited content and are used to perpetrate cybercrimes. It is imperative to detect them in a timely manner. Traditionally, this is done through the usage of blacklists, which cannot be exhaustive, and cannot detect newly generated malicious URLs. To address this, recent years...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2018
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4135 https://ink.library.smu.edu.sg/context/sis_research/article/5138/viewcontent/UrlNet_2018_wp.pdf |
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Institution: | Singapore Management University |
Language: | English |
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