Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis
The presence of vulnerable source code in software applications is causing significant
reliability and security issues, which can be mitigated by integrating and assuring software …
reliability and security issues, which can be mitigated by integrating and assuring software …
[PDF][PDF] Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis
MO Al-Kadri - researchgate.net
The presence of vulnerable source code in software applications is causing significant
reliability and security issues, which can be mitigated by integrating and testing software …
reliability and security issues, which can be mitigated by integrating and testing software …
[PDF][PDF] AI-Powered Vulnerability Detection for Secure Source Code Development
MO Al-Kadri - researchgate.net
Vulnerable source code in software applications is causing paramount reliability and
security issues. Software security principles should be integrated to reduce these issues at …
security issues. Software security principles should be integrated to reduce these issues at …
Ai-powered vulnerability detection for secure source code development
Vulnerable source code in software applications is causing paramount reliability and
security issues. Software security principles should be integrated to reduce these issues at …
security issues. Software security principles should be integrated to reduce these issues at …
Vulnerability prediction from source code using machine learning
As the role of information and communication technologies gradually increases in our lives,
software security becomes a major issue to provide protection against malicious attempts …
software security becomes a major issue to provide protection against malicious attempts …
A survey on automated software vulnerability detection using machine learning and deep learning
Software vulnerability detection is critical in software security because it identifies potential
bugs in software systems, enabling immediate remediation and mitigation measures to be …
bugs in software systems, enabling immediate remediation and mitigation measures to be …
Software weaknesses detection using static-code analysis and machine learning techniques
S Conté - 2023 - repositorio.ipl.pt
Software industry plays an essential role in modern world in almost all fields. Vulnerabilities
are predominant in software systems and can result in a negative impact to the computer …
are predominant in software systems and can result in a negative impact to the computer …
Detecting Vulnerabilities in Source Code Using Machine Learning
O Hany, M Abu-Elkheir - International Conference on Applied …, 2021 - Springer
In recent years, software vulnerabilities have been the source of countless cyber attacks.
Despite the existence of various methods for detecting software vulnerabilities like static …
Despite the existence of various methods for detecting software vulnerabilities like static …
Static analysis of source code vulnerability using machine learning techniques: A survey
J Wang, M Huang, Y Nie, J Li - 2021 4th International …, 2021 - ieeexplore.ieee.org
With the rapid increase of practical problem complexity and code scale, the threat of
software security is increasingly serious. Consequently, it is crucial to pay attention to the …
software security is increasingly serious. Consequently, it is crucial to pay attention to the …
Are Source Code Metrics “Good Enough” in Predicting Security Vulnerabilities?
Modern systems produce and handle a large volume of sensitive enterprise data. Therefore,
security vulnerabilities in the software systems must be identified and resolved early to …
security vulnerabilities in the software systems must be identified and resolved early to …