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 …

Detecting SQL injection on web application using deep learning techniques: a systematic literature review

MT Muslihi, D Alghazzawi - 2020 Third International …, 2020 - ieeexplore.ieee.org
Based on OWASP, code injection is one of the top lists of security risks. Structured Query
Language (SQL) Injection is one of these types of attacks. SQL injection attack is an attack …

A semantic learning-based SQL injection attack detection technology

D Lu, J Fei, L Liu - Electronics, 2023 - mdpi.com
Over the years, injection vulnerabilities have been at the top of the Open Web Application
Security Project Top 10 and are one of the most damaging and widely exploited types of …

Hybrid unsupervised web-attack detection and classification–A deep learning approach

S Pillai, A Sharma - Computer Standards & Interfaces, 2023 - Elsevier
Web requests made by users of web applications are manipulated by hackers to gain control
of web servers. Moreover, detecting web attacks has been increasingly important in the …

Cross-site scripting (XSS) and SQL injection attacks multi-classification using bidirectional LSTM recurrent neural network

AAR Farea, C Wang, E Farea… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
E-commerce, ticket booking, banking, and other web-based applications that deal with
sensitive information, such as passwords, payment information, and financial information …

A novel web attack detection mechanism using maximal-munch with torrent deep network

S Pillai, V Verma - IEEE Transactions on Cloud Computing, 2023 - ieeexplore.ieee.org
A web attack is a harmful and deliberate attempt made by one person or group to gain
access to another person's or group's data collection. Due to the incompatibility of the …

Model uncertainty based annotation error fixing for web attack detection

X Gong, J Lu, Y Zhou, H Qiu, R He - Journal of Signal Processing Systems, 2021 - Springer
Deep learning (DL) techniques have been widely used in web attack detection domain. With
the stronger ability to fit data, DL models are also more sensitive to the training data …

Using adversarial examples to bypass deep learning based url detection system

W Chen, Y Zeng, M Qiu - 2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
Due to the outstanding performance on the feature extraction and classification, Deep
Learning (DL) models have been developed in many existing network systems. Nowadays …

[PDF][PDF] Injections Attacks Efficient and Secure Techniques Based on Bidirectional Long Short Time Memory Model.

AAR Farea, GA Amran, E Farea, A Alabrah… - … , Materials & Continua, 2023 - researchgate.net
ABSTRACT E-commerce, online ticketing, online banking, and other web-based
applications that handle sensitive data, such as passwords, payment information, and …

Cyber Threat Analysis and Trustworthy Artificial Intelligence

SP Wang, MT Arafin, O Osuagwu… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Cyber threats can cause severe damage to computing infrastructure and systems as well as
data breaches that make sensitive data vulnerable to attackers and adversaries. It is …