Implementation of Generative Language Models in Cyber Exercise Secure Coding Using Prompt Engineering
Dublin Core
Title
Implementation of Generative Language Models in Cyber Exercise Secure Coding Using Prompt Engineering
Subject
Cyber Exercise;Generative Language Models; OWASP; Prompt Engineering; Secure Coding
Description
Utilizing Artificial Intelligence (AI) in various fields can open up great opportunities to improve cybersecurity. AI can effectively detect security threats, analyze attack patterns, and respond rapidly to changes in thecyber environment. Overthe times, the need for secure software is becoming increasingly urgent due to increasing vulnerabilities in software products. In 2022, the National Cyber and Crypto Agency (BSSN) recorded 2,348 cases of web defacement. One of theleading causes of these attacks is the need for more attention to secure coding practices during software development. Secure coding is also one of the critical aspects of implementing an Information Security Management System (ISMS), which is regulated in more detail in control 8.28 of ISO 27002:2022, where poor coding practices can trigger cyber-attacks and result in the breach of sensitive information assets. Therefore, a developer needs to have strong coding skills. This research explores the utilization of Large Language Models (LLMs), such as ChatGPT, in secure coding training to improve developer skills. Against the backdrop of increasing cybersecurity threats and a lack of attention to secure coding practices, LLMs are utilized as virtual assistantswith the Prompt Engineering method to provide immediate feedback and exercises to trainees. The LLM implementation was conducted in an ISO 22398-based learning environment, focusing on applying ISO 27001:2022 information security controls and material from OWASP Code Review GuideV2. The research provided a virtual lab Cyber Exercise Secure Coding to enhance developers' skills in secure coding practice
Creator
Jeckson Sidabutar1*, Alfido Osdie2
Source
https://jurnal.iaii.or.id/index.php/RESTI/article/view/6012/1044
Publisher
Cyber Security Engineering, Cyber Security,National Cyber and Crypto Polytechnic, Bogor, Indonesia
Date
16-04-2025
Contributor
FAJAR BAGUS W
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Jeckson Sidabutar1*, Alfido Osdie2, “Implementation of Generative Language Models in Cyber Exercise Secure Coding Using Prompt Engineering,” Repository Horizon University Indonesia, accessed January 26, 2026, https://repository.horizon.ac.id/items/show/10493.