Conference paper Open Access

AI-driven Zero-touch Operations, Security and Trust in Multi-operator 5G Networks: a Conceptual Architecture

Carrozzo, Gino; Siddiqui, Shuaib; Betzler, August; Bonnet, Josep; Martinez Perez, Gregorio; Ramos, Aurora; Subramanya, Tejas

The 5G network solutions currently standardised and deployed do not yet enable the full potential of pervasive networking and computing envisioned in 5G initial visions: network services and slices with different QoS profiles do not span multiple operators; security, trust and automation is limited. The evolution of 5G towards a truly production-level stage needs to heavily rely on automated end-to-end network operations, use of distributed Artificial Intelligence (AI) for cognitive network orchestration and management and minimal manual interventions (zero-touch automation). All these elements are key to implement highly pervasive network infrastructures. Moreover, Distributed Ledger Technologies (DLT) can be adopted to implement distributed security and trust
through Smart Contracts among multiple non-trusted parties. In this paper, we propose an initial concept of a zero-touch
security and trust architecture for ubiquitous computing and connectivity in 5G networks. Our architecture aims at crossdomain
security & trust orchestration mechanisms by coupling DLTs with AI-driven operations and service lifecycle automation in multi-tenant and multi-stakeholder environments. Three representative use cases are identified through which we will
validate the work which will be validated in the test facilities at 5GBarcelona and 5TONIC/Madrid.

Files (703.3 kB)
Name Size
AI-driven Zero-touch Operations, Security and Trust.pdf
md5:e87accbc4fd5c6c73b4e8419030ac4e1
703.3 kB Download
173
160
views
downloads
Views 173
Downloads 160
Data volume 112.5 MB
Unique views 152
Unique downloads 148

Share

Cite as