Content-aware malicious webpage detection using convolutional neural network

Malicious websites often install malware on user devices to gather user information or to disrupt device operations, violate user privacy, or adversely affect company interests. Many commercial tools are available to prevent malicious webpages from accessing devices; however, current versions of the...

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Vydáno v:	Multimedia tools and applications Ročník 83; číslo 3; s. 8145 - 8163
Hlavní autoři:	Chang, Yen-Jen, Tsai, Kun-Lin, Jiang, Wei-Cheng, Liu, Meng-Kun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.01.2024 Springer Nature B.V
Témata:	Accuracy Algorithms Artificial neural networks Blacklisting Computer Communication Networks Computer engineering Computer Science Cybercrime Data Structures and Information Theory Deep learning Internet JavaScript Keywords Machine learning Malware Methods Multimedia Multimedia Information Systems Neural networks Social networks Special Purpose and Application-Based Systems Syntax URLs Visualization Websites Convolutional neural network (CNN) Content awareness Webpage contextual visualization Malicious webpages
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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