Efficient yet Robust Elimination of XSS Attack Vectors from HTML5 Web Applications Hosted on OSN-Based Cloud Platforms

Author:

Kaur Gurpreet,Pande Bhavika,Bhardwaj Aayushi,Bhagat Gargi,Gupta Shashank

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. Cao, Yinzhi, VinodYegneswaran, Phillip A. Porras, and Yan Chen. "PathCutter: Severing the Self-Propagation Path of XSS JavaScript Worms in Social Web Networks." In NDSS. 2012.

2. "Integrated approach to prevent SQL injection attack and reflected cross site scripting attack";Sharma;International Journal of System Assurance Engineering and Management 3, no.,2012

3. Zhang, Qianjie, Hao Chen, and Jianhua Sun. "An execution-flow based method for detecting cross-site scripting attacks." In Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on, pp. 160-165. IEEE, 2010.

4. Gupta BB, Gupta S, Chaudhary P. Enhancing the Browser-Side Context-Aware Sanitization of Suspicious HTML5 Code for Halting the DOM-Based XSS Vulnerabilities in Cloud. International Journal of Cloud Applications and Computing (IJCAC). 2017 Jan 1;7(1):1-31.

5. Agten, Pieter, Steven Van Acker, YoranBrondsema, Phu H. Phung, LievenDesmet, and Frank Piessens. "JSand: complete client-side sandboxing of third-party JavaScript without browser modifications." In Proceedings of the 28th Annual Computer Security Applications Conference, pp. 1-10. ACM, 2012.

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