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Secure Coding for SQL Injection Prevention Using Generative AI

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(9), pp.61~68
  • DOI : 10.9708/jksci.2024.29.09.061
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 12, 2024
  • Accepted : September 6, 2024
  • Published : September 30, 2024

Young-Bok Cho 1

1안동대학교

Accredited

ABSTRACT

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.

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