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Security and Communication Networks
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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XSS‐immune: a Google chrome extension‐based XSS defensive framework for contemporary platforms of web applications

Authors: Shashank Gupta 0002; Brij Bhooshan Gupta;

XSS‐immune: a Google chrome extension‐based XSS defensive framework for contemporary platforms of web applications

Abstract

AbstractIn this paper, the authors analyzed and discussed the performance issues in the existing cross‐site scripting (XSS) filters and based on that, proposed a JavaScript string comparison and context‐aware sanitization‐based framework, XSS‐immune. It is a browser‐resident framework that compares the set of scripts embedded in hypertext transfer protocol request (HREQ) and hypertext transfer protocol response (HRES) for discovering any similar untrusted/malicious JavaScript code. This similar code points towards the untrusted JavaScript code that will be utilized by an attacker to exploit the vulnerabilities of XSS worms. In addition, our technique determines the context of such worms and performs the sanitization on them accordingly for alleviating the effect of such XSS worms from the real world web applications. We have also introduced a mechanism that can detect the injection of malicious parameter values by modifying the existing JavaScript code, that is, partial script injections. The prototype of XSS‐immune was developed in Java and installed as an extension on the Google Chrome. In addition, we have verified the implementation of our design of prototype against five open‐source XSS attack vector repositories, and very few XSS attack worms were able to evade our proposed design. Experimental evaluation and testing of XSS‐immune were performed by adding support from the tested suite of real world web applications. The performance evaluation results revealed that our framework is able to detect the XSS worms with acceptable low false positive and false negative rate in comparison with the performance of existing XSS filters. Experimental results also incurred acceptable runtime overhead because of minor alterations on client‐side browser and computationally fast execution of modules deployed in our browser‐resident framework. Copyright © 2016 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
gold