A 10-Layer Model for Service Availability Risk Management
Jan Evang, Jan Evang
2023
Abstract
Effective management of service availability risk is a critical aspect of Network Operations Centers (NOCs) as network uptime is a key performance indicator. However, commonly used risk classification systems such as ISO27001:2013, NIST CSF, and NIST 800-53 often do not prioritize network availability, resulting in the potential oversight of certain risks and ambiguous classifications. This paper presents a comprehensive examination of network availability risk and proposes a 10-layer model that aligns closely with the operational framework of NOCs. The 10-layer model encompasses hardware risk, risks across various network layers, as well as external risks such as cloud, human errors, and political governance. By adopting this model, critical risks are less likely to be overlooked, and the NOC’s risk management process is streamlined. The paper outlines each layer of the model, provides illustrative examples of related risks and outages, and presents the successful evaluation of the model on two real-life networks, where all risks were identified and appropriately classified.
DownloadPaper Citation
in Harvard Style
Evang J. (2023). A 10-Layer Model for Service Availability Risk Management. In Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-666-8, SciTePress, pages 716-723. DOI: 10.5220/0012092600003555
in Bibtex Style
@conference{secrypt23,
author={Jan Evang},
title={A 10-Layer Model for Service Availability Risk Management},
booktitle={Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2023},
pages={716-723},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012092600003555},
isbn={978-989-758-666-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - A 10-Layer Model for Service Availability Risk Management
SN - 978-989-758-666-8
AU - Evang J.
PY - 2023
SP - 716
EP - 723
DO - 10.5220/0012092600003555
PB - SciTePress