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Design and development of Anti-XSS proxy

Authors: Hossain Shahriar; Sarah North 0001; Wei-Chuen Chen; Edward Mawangi;

Design and development of Anti-XSS proxy

Abstract

Cross-Site Scripting (XSS) vulnerability allows an attacker to inject arbitrary JavaScript code that can be executed in the victim's browser and cause security breaches. The discovery of XSS is still widespread among today's web applications. As a result, there is a need to improve existing solutions or develop novel attack detection techniques. This paper proposes a proxy-level design and development of XSS attack detection approach (Anti-XSS) based on Kullback-Leibler Divergence (KLD) measure. The proposed approach has been applied for a number of open-source PHP web applications containing XSS vulnerabilities. The initial results show that the approach can effectively detect XSS attacks while displaying a low false positive rate depending on the choice of threshold values of KLD.

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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!
7
Average
Average
Average
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