[HTML][HTML] SQL injection attack detection in network flow data
IS Crespo-Martínez, A Campazas-Vega… - Computers & …, 2023 - Elsevier
SQL injections rank in the OWASP Top 3. The literature shows that analyzing network
datagrams allows for detecting or preventing such attacks. Unfortunately, such detection …
datagrams allows for detecting or preventing such attacks. Unfortunately, such detection …
Deep learning architecture for detecting SQL injection attacks based on RNN autoencoder model
M Alghawazi, D Alghazzawi, S Alarifi - Mathematics, 2023 - mdpi.com
SQL injection attacks are one of the most common types of attacks on Web applications.
These attacks exploit vulnerabilities in an application's database access mechanisms …
These attacks exploit vulnerabilities in an application's database access mechanisms …
AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey
To secure computers and information systems from attackers taking advantage of
vulnerabilities in the system to commit cybercrime, several methods have been proposed for …
vulnerabilities in the system to commit cybercrime, several methods have been proposed for …
Network Attacks Classification for Network Forensics Investigation: Literature Reviews
The computer network plays an important role in supporting various jobs and other activities
in the cyber world. Various kinds of crimes have often occurred on computer networks. It is …
in the cyber world. Various kinds of crimes have often occurred on computer networks. It is …
Detection of SQL Injection Attacks Based on Supervised Machine Learning Algorithms: A Review
HS Abdullah, AM Abdulazeez - International Journal of Informatics …, 2024 - ojs.unikom.ac.id
In the ever-changing world of cybersecurity, it is becoming more important to ensure integrity
of web applications as well as securing sensitive data. Among a variety of vulnerabilities …
of web applications as well as securing sensitive data. Among a variety of vulnerabilities …
An investigation of machine learning algorithms for high-bandwidth SQL injection detection utilising BlueField-3 DPU technology
SQL injection attacks present a significant risk to data center security. Traditional rule-based
pattern matching techniques exhibit limitations, such as inability to adapt to new attack types …
pattern matching techniques exhibit limitations, such as inability to adapt to new attack types …
Determining Web Application Vulnerabilities Using Machine Learning Methods
Information technology is a significant factor in the modern world. This area is developing
quickly, becoming essential as new, more complex protection methods appear. Threat …
quickly, becoming essential as new, more complex protection methods appear. Threat …
XSS: Cross-site Scripting Attack Detection by Machine Learning Classifiers
Cross-site scripting (XSS) is a menacing attack predominately marked by owsap10. It is
primarily caused by insufficient sanitization of the web application's input and endpoint …
primarily caused by insufficient sanitization of the web application's input and endpoint …
Combining Regular Expressions and Machine Learning for SQL Injection Detection in Urban Computing
MS Souza, SESB Ribeiro, VC Lima… - Journal of Internet …, 2024 - journals-sol.sbc.org.br
Given the vast amount of data generated in urban environments the rapid advancements in
information technology urban environments and the continual advancements in information …
information technology urban environments and the continual advancements in information …