Detection and Mitigation of Cross-site Scripting using NIDS
Abstract & Details
Research Area
Computer Engineering(IT Systems & Network Security)
Keywords
Network Intrusion Detection
Cross-site Scripting
Regular Expression
Web Application Security
Abstract
Web application is the application program that keeps on remote server, is accessed globally and delivered over the web through a browser interface. Web Application Security is always issue usually considered because of 60% of attacks are targeting the web application platform. Cross site Scripting may be a vulnerability that found in web application. Cross-site scripting (XSS) attacks are a type of injection, in which malicious scripts are injected into trusted websites. Cross site Scripting happens once associate attacker uses an online application to send malicious code, typically within the type of browser aspect script, to a singular user. One of the most important attacks on technology is XSS attack that is on the third number in Top 10 list of Web Application Security Project (OWASP) in 2017.There are such a lot of ways to prevent this type of attacks. Network Intrusion Detection is one resolution to prevent Cross-site Scripting attacks. This will work for payload recognition and detection of cross-site scripting. To recognize and detect the XSS attack regular expression pattern matching and preprocessing method is used. Thus to improve the result of false positives arises and to prevent it at network level this technique is suggested here. The proposed system is the dual layer security with the use of content security policy as well as Network Intrusion Detection System. The successful implementation of the proposed system will detect and mitigate XSS more precisely.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nainita Thakkar | GTU PG School |
| 2 | Prof. Rajvirsinh Vaghela | NSIT |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Thakkar, Nainita & Vaghela, Prof. Rajvirsinh (2018). Detection and Mitigation of Cross-site Scripting using NIDS. International Journal of Advance Research and Innovative Ideas In Education, 4(3), 64-69.
MLA Style
Thakkar, Nainita, and Prof. Rajvirsinh Vaghela. "Detection and Mitigation of Cross-site Scripting using NIDS." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, 2018, pp. 64-69.
IEEE Style
Nainita Thakkar and Prof. Rajvirsinh Vaghela, "Detection and Mitigation of Cross-site Scripting using NIDS," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, pp. 64-69, 2018.
Vancouver Style
Thakkar Nainita, Vaghela Prof. Rajvirsinh. Detection and Mitigation of Cross-site Scripting using NIDS. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(3):64-69.
Harvard Style
Thakkar, Nainita & Vaghela, Prof. Rajvirsinh (2018) 'Detection and Mitigation of Cross-site Scripting using NIDS', International Journal of Advance Research and Innovative Ideas In Education, 4(3), pp. 64-69.
Chicago Style
Thakkar, Nainita and Prof. Rajvirsinh Vaghela. "Detection and Mitigation of Cross-site Scripting using NIDS." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 64-69.
Turabian Style
Thakkar, Nainita and Prof. Rajvirsinh Vaghela. "Detection and Mitigation of Cross-site Scripting using NIDS." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 64-69.
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