A Hybrid LLM-Based Framework for Automated Security Annotation Generation in Business Process Models
The modelling and analysis of secure business processes require the incorporation of security annotations into process models. Although BPMN extensions, including SecBPMN2, exist for this purpose, the derivation of accurate and complete security annotations from natural-language specifications remains a manual, expert-intensive, and error-prone task. This paper presents a hybrid framework that takes a BPMN process model and a security requirements document as input and automatically generates security annotations adhering to the SecBPMN2 specification. The approach combines Large Language Model (LLM)--based semantic extraction with schema-constrained mapping, rule-based normalization, and...
| Authors | Md Kamrul Islam, Tiphaine Henry, Mattia Salnitri et al. |
|---|---|
| Primary category | cs.CR |
| Published | 14 August 2026 |
| Last updated at source | 14 August 2026 |
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