A Pilot Machine Learning Algorithm Detecting Security Breaches in Python

Authors

Young B. Choi, Regent University

DOI

10.5703/1288284318352

Abstract

This paper demonstrates how ChatGPT can be utilized to detect security breaches. The questions were tested by referencing the NVB (National Vulnerability Database) of NIST (National Institute of Technology). The experiment showed that the level of refinement of the question and its exactness according to the use’s requirements are very important to get the desired results. The possibility of automatic programming using Python was also identified. The experiment showed that using diverse types of security databases around the world, the machine learning algorithm designed by ChatGPT can improve the capabilities of security breaches detection further toward a generic machine learning algorithm for diverse security breaches detection in the future.

Recommended Citation

Choi, Young B. (2023) "A Pilot Machine Learning Algorithm Detecting Security Breaches in Python," KAUPA Letters: Vol. 10 : Iss. 5, Article 7.
DOI: 10.5703/1288284318352
Available at: https://docs.lib.purdue.edu/kaupa/vol10/iss5/7