A NOVEL FRAMEWORK TO ALLEVIATE DISSEMINATION OF XSS WORMS IN ONLINE SOCIAL NETWORK (OSN) USING VIEW SEGREGATION

In this paper, we propose a client-server based framework that alleviates the dissemination of XSS worms from the OSN. The framework initially creates the views corresponding to retrieved request on the server-side. Such views indicate that which part of the generated web page on the server can be a...

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Vydáno v:	Neural Network World Ročník 27; číslo 1; s. 5 - 25
Hlavní autoři:	Chaudhary, Pooja, Gupta, B. B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Prague Institute of Information and Computer Technology 01.01.2017 Czech Technical University in Prague, Faculty of Transportation Sciences
Témata:	Acceptability Access control Applications programs Client server computing Java (programming language) Network security Neural networks Platforms Repositories Segregations Social networks Cross-Site Scripting (XSS) worms online social network security URI links
ISSN:	1210-0552, 2336-4335
On-line přístup:	Získat plný text
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