Deep learning for vulnerability and attack detection on web applications: A systematic literature review

RL Alaoui, EH Nfaoui - Future Internet, 2022 - mdpi.com
Web applications are the best Internet-based solution to provide online web services, but
they also bring serious security challenges. Thus, enhancing web applications security …

Systematic review analysis on SQLIA detection and prevention approaches

MS Aliero, KN Qureshi, MF Pasha, I Ghani… - Wireless Personal …, 2020 - Springer
SQL injection attack (SQLIA) is one of the most severe attacks that can be used against web
database driving applications. Attackers use SQLIA to get unauthorized access and perform …

Input Validation Vulnerabilities in Web Applications: Systematic Review, Classification, and Analysis of the Current State-of-the-Art

FF Fadlalla, HT Elshoush - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, huge increase in attacks and data breaches is noticed. Most of the attacks
are performed and focused on the vulnerabilities related to web applications. Hence …

A survey and classification of XML based attacks on web applications

C Gupta, RK Singh, AK Mohapatra - Information Security Journal …, 2020 - Taylor & Francis
ABSTRACT XML based attacks are executed in web applications through crafted XML
document that forces XML parser to process un-validated documents. This leads to …

Deep Learning within the Web Application Security Scope–Literature Review

M Kaniški, J Dobša, D Kermek - 2023 46th MIPRO ICT and …, 2023 - ieeexplore.ieee.org
Over the last few years, several breakthroughs in deep learning have contributed to the
development of new models. One of many areas they are applied to is the web application …

Secure XML parsing pattern for prevention of XML attacks

C Gupta, RK Singh, AK Mohapatra - Information and Communication …, 2023 - Springer
XML document provides a platform independent data representation and transportation
facility to enable communication among heterogeneous Web application and Web and …