Paper Info
Title
A client-server JavaScript code rewriting-based framework to detect the XSS worms from online social network
Abstract
This article presents a client-server JavaScript code rewriting-based framework that protects and preserves the privacy of online users against XSS worms on Online Social Network (OSN). The server-side generates an estimation graph which is explored for extracting the JavaScript code and shifts such code in a separate file. This shifting is done for completely isolating the untrusted JavaScript code and data. The client-side performs runtime monitoring of the dynamic JavaScript code to recognize the tainted flow of untrusted JavaScript variables. The context of such dynamic tainted variables is determined, for performing the string analysis to examine whether it may be considered as vulnerable point or not. Finally, decoding operation is performed on the obfuscated malicious JavaScript code and the JavaScript code embedded in the parameter values of HTTP request. If match is found, then XSS attack vector is present. Otherwise, it is not. The authors have developed their prototype on the Java development framework and have estimated the malicious script alleviation capability of this proposed work on tested web applications (Humhub, Elgg, WordPress, Joomla, Drupal).
Year
DOI
Venue
2019
10.1002/cpe.4646
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
Field
DocType
Cross-Site Scripting (XSS) worms,Online Social Networking (OSN) security,untrusted JavaScript code,web security,XSS filters
Social network,Computer science,Rewriting,Cross-site scripting,Operating system,Client–server model,JavaScript,Distributed computing
Journal
Volume
Issue
ISSN
31.0
SP21.0
1532-0626
Citations 
PageRank 
References 
0
0.34
15
Authors
3
Name
Order
Citations
PageRank
shashank gupta1848.88
B. B. Gupta251846.49
Pooja Chaudhary3274.54