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2022-08-03
Palma, Noelia Pérez, Matheu-García, Sara Nieves, Zarca, Alejandro Molina, Ortiz, Jordi, Skarmeta, Antonio.  2021.  Enhancing trust and liability assisted mechanisms for ZSM 5G architectures. 2021 IEEE 4th 5G World Forum (5GWF). :362—367.
5G improves previous generations not only in terms of radio access but the whole infrastructure and services paradigm. Automation, dynamism and orchestration are now key features that allow modifying network behaviour, such as Virtual Network Functions (VNFs), and resource allocation reactively and on demand. However, such dynamic ecosystem must pay special attention to security while ensuring that the system actions are trustworthy and reliable. To this aim, this paper introduces the integration of the Manufacturer Usage Description (MUD) standard alongside a Trust and Reputation Manager (TRM) into the INSPIRE-5GPlus framework, enforcing security properties defined by MUD files while the whole infrastructure, virtual and physical, as well as security metrics are continuously audited to compute trust and reputation values. These values are later fed to enhance trustworthiness on the zero-touch decision making such as the ones orchestrating end-to-end security in a closed-loop.
2021-02-23
Gaber, C., Vilchez, J. S., Gür, G., Chopin, M., Perrot, N., Grimault, J.-L., Wary, J.-P..  2020.  Liability-Aware Security Management for 5G. 2020 IEEE 3rd 5G World Forum (5GWF). :133—138.

Multi-party and multi-layer nature of 5G networks implies the inherent distribution of management and orchestration decisions across multiple entities. Therefore, responsibility for management decisions concerning end-to-end services become blurred if no efficient liability and accountability mechanism is used. In this paper, we present the design, building blocks and challenges of a Liability-Aware Security Management (LASM) system for 5G. We describe how existing security concepts such as manifests and Security-by-Contract, root cause analysis, remote attestation, proof of transit, and trust and reputation models can be composed and enhanced to take risk and responsibilities into account for security and liability management.