Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques
WB Demilie, FG Deriba - Journal of Big Data, 2022 - Springer
A web application is a software system that provides an interface to its users through a web
browser on any operating system (OS). Despite their growing popularity, web application …
browser on any operating system (OS). Despite their growing popularity, web application …
[PDF][PDF] Development of a compressive framework using machine learning approaches for SQL injection attacks
Web applications play an important role in our daily lives. Various Web applications are
used to carry out billions of online transactions. Because of their widespread use, these …
used to carry out billions of online transactions. Because of their widespread use, these …
BiT5: A Bidirectional NLP Approach for Advanced Vulnerability Detection in Codebase
GS Prabith, R Narayanan, A Arya, PK Binu - Procedia Computer Science, 2024 - Elsevier
In this research paper, a detailed investigation presents the utilization of the BiT5
Bidirectional NLP model for detecting vulnerabilities within codebases. The study addresses …
Bidirectional NLP model for detecting vulnerabilities within codebases. The study addresses …
Estimation of accuracy in novel reinforcement learning with random forest for prediction of SQL injection vulnerability
P Koushik, A Rama - AIP Conference Proceedings, 2024 - pubs.aip.org
Improved prediction of SQL injection vulnerabilities using a comparison of F1-Measure in a
Random Forest model and Novel Reinforcement learning. Accuracy in Outcomes and …
Random Forest model and Novel Reinforcement learning. Accuracy in Outcomes and …
Comparison of novel reinforcement learning with random forest algorithm to improve prediction rate of social vulnerability in web application
P Koushik, A Rama - AIP Conference Proceedings, 2024 - pubs.aip.org
The prediction rate of social vulnerability in a web application based on a comparison of the
F1-Measure of novel Reinforcement learning and the Random forest method. Components …
F1-Measure of novel Reinforcement learning and the Random forest method. Components …
BiT5:: A Bidirectional NLP Approach for Advanced Vulnerability Detection in Codebase
P GS, B PK - 2024 - dl.acm.org
In this research paper, a detailed investigation presents the utilization of the BiT5
Bidirectional NLP model for detecting vulnerabilities within codebases. The study addresses …
Bidirectional NLP model for detecting vulnerabilities within codebases. The study addresses …
Monitoring Login Shell Alert Notification Application
Remote monitoring and maintaining logs of each user activities is a cumbersome task for an
administrator. Most of organization needs tools for monitoring user login activities and today …
administrator. Most of organization needs tools for monitoring user login activities and today …
[PDF][PDF] Attacks on SQL Injection and Developing Compressive Framework Using a Hybrid and Machine Learning Approach
FG Deriba, TM Kassa, WB Demilie - 2022 - scholar.archive.org
Web applications play an important role in everyday life. Various Web applications are used
to carry out billions of online transactions. These applications are vulnerable to attacks due …
to carry out billions of online transactions. These applications are vulnerable to attacks due …