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Prototyping an AI-Driven Cognitive Coordinator for Mapping User Intent to Trustworthiness in 6G Networks

Authors: Koumaras, Harilaos; Georgoulas, Spyridon; Batsis, Georgios C.; Anagnostopoulos, Evangelos; Koumaras, Vaios; Makropoulos, George;

Prototyping an AI-Driven Cognitive Coordinator for Mapping User Intent to Trustworthiness in 6G Networks

Abstract

The transition to sixth-generation (6G) mobile networks envisions a fully software-defined, cloud-native architecture that spans from central clouds to far-edge microdata centers. While SDN, NFV, and edge computing unlock unprecedented agility and service diversity, they also enlarge the attack surface and elevate risks to confidentiality, integrity, and availability. Existing security measures in 5G remain fragmented—separate efforts address privacy, resilience, reliability, security, or safety in isolation—and lack a unified metric for end-to-end trust. This paper introduces trustworthiness as a holistic, multi-dimensional metric that aggregates user-specified requirements across five pillars— Safety, Security, Privacy, Resilience, and Reliability—into a single Level of Trustworthiness (LoTw). A proof-of-concept prototype of an AI-driven Cognitive Coordinator that ingests user intents via a chatbot and maps them to LoTw with BERTbased regression heads is presented, validating the proposed formal definition of Trustworthiness towards a truly usercentric and trustworthy 6G network.

Keywords

6G, Trustworthiness, User-centric, User-intent, Security, AI, ML

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green