Effective Security Analytical Enhancement for Cross-Site Scripting and Code Injection Vulnerabilities in Web Security
- DOI
- 10.2991/978-94-6463-716-8_73How to use a DOI?
- Keywords
- SQL Code Injection; Cross-Site Scripting; Cybersecurity
- Abstract
SQL injection and Cross-Site Scripting (XSS) have emerged as significant security vulnerabilities in contemporary web applications, eclipsing buffer overflow weaknesses, as indicated by recent vulnerability and exploit reports. Both SQL injection and XSS exemplify a broader category of input validation deficiencies. This research aims to investigate these vulnerabilities comprehensively while proposing a user-centric architecture to guarantee secure data transmission. This paper particularly examines a model that offers a framework for both symmetric and asymmetric encryption techniques, demonstrating greater reliability than traditional encryption methods.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shreyas Pagare AU - Anish Kumar Choudhary AU - Sanjay Thakur AU - Ashutosh Khemriya AU - Deepesh Shrivas PY - 2025 DA - 2025/05/26 TI - Effective Security Analytical Enhancement for Cross-Site Scripting and Code Injection Vulnerabilities in Web Security BT - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025) PB - Atlantis Press SP - 986 EP - 993 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-716-8_73 DO - 10.2991/978-94-6463-716-8_73 ID - Pagare2025 ER -