Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/61247
Title: A CNN-based model for detecting website defacements
Authors: Hoang, Xuan Dau
Nguyen, Trong Hung
Keywords: CNN-based Model
Detecting Website Defacements
Issue Date: 2021
Series/Report no.: Tạp chí Khoa học Công nghệ Thông tin và Truyền thông;Số 01(CS01) .- Tr.04-09
Abstract: Over 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.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/61247
ISSN: 2525-2224
Appears in Collections:Khoa học Công nghệ Thông tin và Truyền thông

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