Supporting Cyber Threat Analysis with Service-Oriented Enterprise Modeling

Kees Leune, Sung Kim

2021

Abstract

Today’s enterprise environment is rapidly changing with organizations adopting cloud services at record rates. This deperimeterization of enterprise computing architectures depends on software as a service (SaaS) and makes traditional perimeter-based defense controls less effective. We propose a service-oriented threat modeling approach that focuses on the perspective of a service consumer. We supplement our approach by providing an implementation view that includes technical details of service implementations that can be queried to identify potential vulnerabilities in the system. Our approach differs from existing threat modeling methods in that we seek to capture interactions between services in a technologically agnostic manner. This extends the applicability of our model into the realm of security operations. A case study and proof-of-concept are presented to validate our approach and demonstrate how such a model can be used to provide meaningful support for operations engineers.

Paper Citation

in Harvard Style

Leune K. and Kim S. (2021). Supporting Cyber Threat Analysis with Service-Oriented Enterprise Modeling. In Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-524-1, pages 385-394. DOI: 10.5220/0010502503850394

in Bibtex Style

@conference{secrypt21,
author={Kees Leune and Sung Kim},
title={Supporting Cyber Threat Analysis with Service-Oriented Enterprise Modeling},
booktitle={Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2021},
pages={385-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010502503850394},
isbn={978-989-758-524-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - Supporting Cyber Threat Analysis with Service-Oriented Enterprise Modeling
SN - 978-989-758-524-1
AU - Leune K.
AU - Kim S.
PY - 2021
SP - 385
EP - 394
DO - 10.5220/0010502503850394