Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/61247
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dc.contributor.authorHoang, Xuan Dau-
dc.contributor.authorNguyen, Trong Hung-
dc.date.accessioned2021-08-12T07:30:25Z-
dc.date.available2021-08-12T07:30:25Z-
dc.date.issued2021-
dc.identifier.issn2525-2224-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/61247-
dc.description.abstractOver last decade, defacement attacks to websites and web applications have been considered a critical threat in many private and public organizations. A defacement attack can result in a severe effect to the owner’s website, such as instant discontinuity of website operations and damage of the owner's fame, which in turn may lead to big financial damages. Many solutions have been studied and deployed for monitoring and delecting defacement attacks, such as those based on simple comparison methods and those based on complicated methods.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesTạp chí Khoa học Công nghệ Thông tin và Truyền thông;Số 01(CS01) .- Tr.04-09-
dc.subjectCNN-based Modelvi_VN
dc.subjectDetecting Website Defacementsvi_VN
dc.titleA CNN-based model for detecting website defacementsvi_VN
dc.typeArticlevi_VN
Appears in Collections:Khoa học Công nghệ Thông tin và Truyền thông

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