Automatic Attack Script Generation: a MDA Approach

Fuente: arXiv
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Autori principali: Goux, Quentin, Lammari, Nadira
Natura: Preprint
Pubblicazione: 2026
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author Goux, Quentin
Lammari, Nadira
author_facet Goux, Quentin
Lammari, Nadira
contents It is widely recognized that practical exercises are crucial for teaching cybersecurity in higher education. However, their setup is not only expensive, time-consuming, and prone to numerous errors, but also requires technical and programming skills to create attack contexts and scripts. To mitigate these drawbacks, this research work proposes an approach that automatically generates scripts and attack contexts based on informal attack scenario descriptions. To isolate business concerns from technological issues, our approach is aligned with the MDA development method. A formal language is proposed to express our Computation Independent model. We rely on the TOSCA standard to describe our Platform Independent Model. We also allow through our approach the generation of several Platform Specific Models. Hence, this research work contributes not only to the overall improvement of attack implementations for cybersecurity training but also to their reuse on various platforms.
format Preprint
id arxiv_https___arxiv_org_abs_2603_11861
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Automatic Attack Script Generation: a MDA Approach
Goux, Quentin
Lammari, Nadira
Cryptography and Security
Software Engineering
It is widely recognized that practical exercises are crucial for teaching cybersecurity in higher education. However, their setup is not only expensive, time-consuming, and prone to numerous errors, but also requires technical and programming skills to create attack contexts and scripts. To mitigate these drawbacks, this research work proposes an approach that automatically generates scripts and attack contexts based on informal attack scenario descriptions. To isolate business concerns from technological issues, our approach is aligned with the MDA development method. A formal language is proposed to express our Computation Independent model. We rely on the TOSCA standard to describe our Platform Independent Model. We also allow through our approach the generation of several Platform Specific Models. Hence, this research work contributes not only to the overall improvement of attack implementations for cybersecurity training but also to their reuse on various platforms.
title Automatic Attack Script Generation: a MDA Approach
topic Cryptography and Security
Software Engineering
url https://arxiv.org/abs/2603.11861