Detection of SQL Injection Attacks Based on Supervised Machine Learning Algorithms: A Review
In the ever-changing world of cybersecurity, it is becoming more important to ensure integrity of web applications as well as securing sensitive data.
Hilmi Salih Abdullah +1 more
doaj +1 more source
Vulnerability assessment of IPv6 websites to SQL injection and other application level attacks. [PDF]
Cho YC, Pan JY.
europepmc +1 more source
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers. [PDF]
Casmiry E, Mduma N, Sinde R.
europepmc +1 more source
Web application firewall based on machine learning models. [PDF]
Durmuşkaya ME, Bayraklı S.
europepmc +1 more source
Comparative evaluation of approaches & tools for effective security testing of Web applications. [PDF]
Qadir S, Waheed E, Khanum A, Jehan S.
europepmc +1 more source
From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development. [PDF]
Vieira-Vieira CH +5 more
europepmc +1 more source
Collaborative penetration testing suite for emerging generative AI algorithms. [PDF]
Radanliev P.
europepmc +1 more source
A NoSQL document based eCRF system for study of vaccines with variable adverse events case study on COVID19 vaccines. [PDF]
Nasiri Khoshroudi SH +2 more
europepmc +1 more source
Predictors and Incidence of Requiring Subsequent Injection or Surgery in the Same Digit Following Trigger Finger Release. [PDF]
Pohl NB +5 more
europepmc +1 more source

