@article{ART003120945},
author={Youngbok Cho},
title={Secure Coding for SQL Injection Prevention Using Generative AI},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={9},
pages={61-68},
doi={10.9708/jksci.2024.29.09.061}
TY - JOUR
AU - Youngbok Cho
TI - Secure Coding for SQL Injection Prevention Using Generative AI
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 9
PB - The Korean Society Of Computer And Information
SP - 61
EP - 68
SN - 1598-849X
AB - In this paper, Generative AI is a technology that creates various forms of content such as text, images, and music, and is being utilized across different fields. In the security sector, generative AI is poised to open up new possibilities in various areas including security vulnerability analysis, malware detection and analysis, and the creation and improvement of security policies. This paper presents a guide for identifying vulnerabilities and secure coding using ChatGPT for security vulnerability analysis and prediction, considering the application of generative AI in the security domain. While generative AI offers innovative possibilities in the security field, it is essential to continuously pursue research and development to ensure safe and effective utilization of generative AI through in-depth consideration of ethical and legal issues accompanying technological advancements.
KW - Generative AI;ChatGPT;Secure coding;SQL injection;Web vulnerability
DO - 10.9708/jksci.2024.29.09.061
ER -
Youngbok Cho. (2024). Secure Coding for SQL Injection Prevention Using Generative AI. Journal of The Korea Society of Computer and Information, 29(9), 61-68.
Youngbok Cho. 2024, "Secure Coding for SQL Injection Prevention Using Generative AI", Journal of The Korea Society of Computer and Information, vol.29, no.9 pp.61-68. Available from: doi:10.9708/jksci.2024.29.09.061
Youngbok Cho "Secure Coding for SQL Injection Prevention Using Generative AI" Journal of The Korea Society of Computer and Information 29.9 pp.61-68 (2024) : 61.
Youngbok Cho. Secure Coding for SQL Injection Prevention Using Generative AI. 2024; 29(9), 61-68. Available from: doi:10.9708/jksci.2024.29.09.061
Youngbok Cho. "Secure Coding for SQL Injection Prevention Using Generative AI" Journal of The Korea Society of Computer and Information 29, no.9 (2024) : 61-68.doi: 10.9708/jksci.2024.29.09.061
Youngbok Cho. Secure Coding for SQL Injection Prevention Using Generative AI. Journal of The Korea Society of Computer and Information, 29(9), 61-68. doi: 10.9708/jksci.2024.29.09.061
Youngbok Cho. Secure Coding for SQL Injection Prevention Using Generative AI. Journal of The Korea Society of Computer and Information. 2024; 29(9) 61-68. doi: 10.9708/jksci.2024.29.09.061
Youngbok Cho. Secure Coding for SQL Injection Prevention Using Generative AI. 2024; 29(9), 61-68. Available from: doi:10.9708/jksci.2024.29.09.061
Youngbok Cho. "Secure Coding for SQL Injection Prevention Using Generative AI" Journal of The Korea Society of Computer and Information 29, no.9 (2024) : 61-68.doi: 10.9708/jksci.2024.29.09.061
