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Security and Communication Networks
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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JS‐SAN: defense mechanism for HTML5‐based web applications against javascript code injection vulnerabilities

Authors: Shashank Gupta; B. B. Gupta;

JS‐SAN: defense mechanism for HTML5‐based web applications against javascript code injection vulnerabilities

Abstract

AbstractThis paper presents an injection and clustering‐based sanitization framework, i.e. JS‐SAN (JavaScript SANitizer) for the mitigation of JS code injection vulnerabilities. It generates an attack vector template by performing the clustering on the extracted JS attack vector payloads corresponding to their level of similarity. As a result, it then sanitizes the extracted JS attack vector template by an automated technique of placement of sanitizers in the source code of generated templates of web applications. We have also performed the deepest possible crawling of web pages for finding the possible user‐injection points and injected the latest HTML5‐based XSS attack vectors for testing the mitigation capability of our framework. The implementation of our design was done on the browser‐side JavaScript library and tested as an extension on the Google Chrome. The attack mitigation capability of JS‐SAN was evaluated by incorporating the support from a tested suite of open source web applications that are vulnerable to JS code injection vulnerabilities. The proposed framework validates its novelty by producing a less rate of false negatives and tolerable runtime overhead as compared to existing sanitization‐based approaches. 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!
28
Top 10%
Top 10%
Top 10%
gold