Results 71 to 80 of about 1,022 (177)

Detection of SQL injection attacks

open access: yes, 2023
Web applications that employ SQL datasets are at serious risk from SQL injection attacks. Using two separate datasets, this study examined the utility of ML classification approaches for identifying SQL injection threats. On two datasets—one taken from the actual world and the other created artificially—random forest (RF), descion tree (DT), k-nearest ...
openaire   +1 more source

Machine-Learning-Based Detection of SQL Injection Attacks in Web Applications

open access: yesApplied Sciences
The increasing development and prevalence of web applications have contributed to a surge in web attacks, with injection vulnerabilities considered amongst the most pivotal, widespread, and severe.
Haya Aldossary, Noura Aleisa
doaj   +1 more source

Deep Learning in Cybersecurity: A Hybrid BERT–LSTM Network for SQL Injection Attack Detection

open access: yesIET Information Security
In the past decade, cybersecurity has become increasingly significant, driven largely by the increase in cybersecurity threats. Among these threats, SQL injection attacks stand out as a particularly common method of cyber attack.
Yixian Liu, Yupeng Dai
doaj   +1 more source

A Hybrid Deep Learning Model for SQL Injection Attack Detection

open access: yesIEEE Access
An increasing number of web application services raises significant security concerns. Online access to these applications exposes them to multiple cyberattacks.
Emanuel N. Casmiry   +2 more
doaj   +1 more source

DISCUSS SQL INJECTION ATTACKS

open access: yesInternational Research Journal of Modernization in Engineering Technology and Science, 2023
openaire   +1 more source

Labelled IoT flow-based network traffic dataset for cyberattack detection. [PDF]

open access: yesData Brief
Martínez B   +4 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy