Efficient and fast server based phishing detection system using url lexical analysis/
According to the requirements of the efficient phishing detection system in term of fast processing time and high accuracy, a different phishing classifiers are proposed to achieve these requirements. The objectives of this study are to propose server side phishing attack detection system based on U...
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| Autor principal: | |
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| Autor Corporativo: | |
| Formato: | Thesis Software livro electrónico |
| Idioma: | English |
| Publicado em: |
Perlis, Malaysia
School of Computer and Communication Engineering
2017
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| Resumo: | According to the requirements of the efficient phishing detection system in term of fast processing time and high accuracy, a different phishing classifiers are proposed to achieve these requirements. The objectives of this study are to propose server side phishing attack detection system based on URLs lexical features to achieve high detection accuracy; to reduce the processing overhead of the phishing attacks detection classifier; to test the robustness of the proposed solution using mismatched datasets. |
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| Descrição Física: | 1 CD-ROM 12 cm |
| Bibliografia: | Includes bibliographical references. |