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Advanced Detection and Mitigation of Cross-Site Scripting Attacks through Intelligent JavaScript Code Injection Analysis

Ashmit Gupta1 Neeraj Srivastava2 Ajit Kumar Srivastava3
1 Student Member IEEE, School of Computer Science and Engineering Vellore Institute of Technology, Vellore, India. 2 Senior Member IEEE , Associate Professor, Department of Electronics & Communication Engineering, Rustamji Institute of Technology, BSF Academy Tekanpur Gwalior, India. 3 Associate Professor & Head Department of CSE SIS Tec-R, Bhopal, India.

Published Online: May-August 2023

Pages: 12-19

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References

1. GA XSS: Effective Payload Generation Method to Detect XSS Vulnerabilities Based on Genetic Algorithm –
https://www.hindawi.com/journals/scn/2022/2031924/
2. Web Vu lnerability Finder(W VF): Automated Black-Box Web Vulnerab ility Scanner-https://www.mecs-pres.org/ijitcs/ijitcs-v12-
n4/v12n4-5.html
3. Detecting Cross-Site Scripting in Web
4. Applications Using Fuzzy Inference System–https://www.hindawi.com/journals/jcnc/201 8/8159548/
5. Cross-Site Scripting(XSS) Detection Integrating Evidences in Multiple Stages- https://dblp.org/rec/conf/hicss/hangJL19/ht ml
6. DeepXSS: Cross Site Scripting DetectionBased on Deep Learning –https://dl.acm.org/doi/abs/10.1145/3194452.3194469

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