Identifying security-related requirements in regulatory documents based on cross-project classification

Mazen Mohamad, Jan-Philipp Steghoefer, Alexander Aastrom, Riccardo Scandariato
November, 2022
DOI

Abstract

This paper investigates the feasibility of using a machine-learning classifier trained on security-related requirements from publicly available specifications to identify security requirements in new regulatory documents, including automotive standards.

Type
Conference paper
Publication
18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022), co-located with ESEC/FSE 2022
Mazen Mohamad
Mazen Mohamad
Researcher at RISE Research Institutes of Sweden

My research interests include Safety & Cybersecurity of Autonomous Systems, AI4Security, and Security4AI.