6GDAWN-RESILIENT - Decentralized AI and Architectures for Massive Wireless Network Slicing Scalability and Sustainability in 6G-RESILIENT

6GDAWN-RESILIENT (within the coordinated project 6GDAWN) will devise a distributed management plane to handle the deployment of a massive number of network slices with emphasis on its reliability understood in a wide sense, i.e., guaranteeing secure and continuous operation of network slices. To this end, 6GDAWN-RESILIENT will evolve the traditional centralized cloud management system architecture, composed of three main entities: Monitoring System (MS), Analytics Engine (AE) and Decision Engine (DE), towards a distributed system, where the components will be decomposed and distributed over different technological domains (i.e., RAN, Core, Cloud, MEC). 6GDAWN-RESILIENT will elaborate advanced security schemes and plans to empower secure smart network slice life-cycle management (LCM).

6GDAWN-RESILIENT will provide AI-driven security mechanisms for automatic identification and mitigation of both in-slice and cross-slice attacks. Meanwhile, 6GDAWN-RESILIENT will focus on security issues associated with the operation of the AI techniques themselves. This can be used to deploy on-demand 6G private network slices with the highest level of security for Verticals.

6GDAWN-RESILIENT will leverage the developed massive scalable network slicing to propose innovative schemes that suit the needs of infrastructure providers, vertical tenants and final consumers.