Ai-powered vulnerability detection for secure source code development

S Rajapaksha, J Senanayake, H Kalutarage… - International Conference …, 2022 - Springer
Vulnerable source code in software applications is causing paramount reliability and
security issues. Software security principles should be integrated to reduce these issues at …

Vulnerability prediction from source code using machine learning

Z Bilgin, MA Ersoy, EU Soykan, E Tomur… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

Optimizing software vulnerability detection using RoBERTa and machine learning

CX Do, NT Luu, PTL Nguyen - Automated Software Engineering, 2024 - Springer
Detecting vulnerabilities in source code written in C and C++ is currently essential as attack
techniques against systems seek to find, exploit, and attack these vulnerabilities. In this …

A cosine similarity-based labeling technique for vulnerability type detection using source codes

MM Öztürk - Computers & Security, 2024 - Elsevier
Vulnerability detection is of great importance in providing reliability to software systems.
Although existing methods achieve remarkable success in vulnerability detection, they have …

Prediction of Software Security Vulnerabilities from Source Code Using Machine Learning Methods

D Mandal, İ KÖsesoy - 2023 Innovations in Intelligent Systems …, 2023 - ieeexplore.ieee.org
One of the most significant problems in software engineering is the presence of security
vulnerabilities in software. Attackers can exploit these vulnerabilities to gain unauthorized …

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 …

Are Source Code Metrics “Good Enough” in Predicting Security Vulnerabilities?

S Ganesh, F Palma, T Olsson - Data, 2022 - mdpi.com
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 …

Static vulnerability detection based on class separation

C Zhang, Y Xin - Journal of Systems and Software, 2023 - Elsevier
Software vulnerability detection is a key step to prevent the system from being attacked.
However, tens of thousands of codes have brought great challenges to engineers, so we …

An advanced computing approach for software vulnerability detection

C Do Xuan, BV Cong - Multimedia Tools and Applications, 2024 - Springer
Detecting software vulnerabilities is a very urgent problem today. One of the common
approaches for detecting software vulnerabilities is source code analysis. In this paper, to …

Detecting code vulnerabilities by learning from large-scale open source repositories

R Xu, Z Tang, G Ye, H Wang, X Ke, D Fang… - Journal of Information …, 2022 - Elsevier
Abstract Machine learning methods are widely used to identify common, repeatedly
occurring bugs and code vulnerabilities. The performance of a machine-learned model is …