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International Journal of Scientific Development and Research - IJSDR
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Volume 4 | Issue 10

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Paper Title: Prevention, Detection and Mitigation of Cross Site Scripting Attacks in Web Applications
Authors Name: Sanket Patel , Priyanka Vishwasrao , Prof. Sakina Shaikh
Unique Id: IJSDR1604044
Published In: Volume 1 Issue 4, April-2016
Abstract: With the increasing dependencies on the web applications for day-to-day activities, users are exposed to an all time high risk of being affected by cyber attacks. One of such attack is the Cross Site Scripting (XSS) attacks that seems to be passive in nature but directly impacts the experience of the user session. Open Web Application Security Project (OWASP) and Common Vulnerabilities and Exposures (CVE) reported Cross-Site Scripting (XSS) as one of the most serious vulnerabilities in the web applications. Though many vulnerability detection approaches have been proposed in the past, existing detection approaches have the limitations in terms of false positive and false negative results. This paper proposed an automated browser mediating approach to authenticate the scripts on the page and thus mitigating the XSS vulnerabilities in the web applications.
Keywords: Cross Site Scripting (XSS), Web Application Security, Pattern Matching, Browser Mediating Approach
Cite Article: "Prevention, Detection and Mitigation of Cross Site Scripting Attacks in Web Applications", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.270 - 272, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604044.pdf
Downloads: 0001439
Publication Details: Published Paper ID: IJSDR1604044
Registration ID:160127
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 270 - 272
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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