Defending Malicious Script Attacks Using Machine Learning Classifiers
Theweb application has become a primary target for cyber criminals by injecting malware especially JavaScript to performmalicious activities for impersonation. Thus, it becomes an imperative to detect such malicious code in real time before any malicious activity is performed. This study proposes...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/15729/1/Defending%20Malicious%20Script%20Attacks%20Using%20Machine%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15729/ https://www.hindawi.com/journals/wcmc/ |
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