Malicious web content detection by machine learning

The recent development of the dynamic HTML gives attackers a new and powerful technique to compromise computer systems. A malicious dynamic HTML code is usually embedded in a normal webpage. The malicious webpage infects the victim when a user browses it. Furthermore, such DHTML code can disguise it...

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Bibliographische Detailangaben

Veröffentlicht in:	Expert systems with applications 2010, Vol.37 (1), p.55-60
Hauptverfasser:	Hou, Yung-Tsung, Chang, Yimeng, Chen, Tsuhan, Laih, Chi-Sung, Chen, Chia-Mei
Format:	Artikel
Sprache:	eng
Schlagworte:	Dynamic HTML Dynamical systems Dynamics Expert systems HTML HyperText Markup Language Machine learning Malicious webpage Software packages Transformations
Online-Zugang:	Volltext
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