Deployment of genuine multi-agent pipelines for near-real-time control of 6G network services

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hdl:2117/424104
Document typeConference report
Defense date2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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ProjectDESIRE6G - Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G Networks (EC-HE-101096466)
AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G (AEI-PID2020-114135RB-I00)
AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G (AEI-PID2020-114135RB-I00)
Abstract
The near real-time control of 6 G network services requires decision-making to be placed as close to network devices as possible. A possible solution is to deploy a distributed system with intelligent agents that relieves the classical centralized control plane from such near-real-time control loops. However, distributing decision-making entails new vulnerabilities that attackers can exploit. This demonstration will showcase the solution devised by the DESIRE6G project to secure such distributed intelligence, which includes secure communications, as well as remote attestation to verify agents' integrity, both supported by immutable transactions based on a blockchain system.
CitationGonzalez, P. [et al.]. Deployment of genuine multi-agent pipelines for near-real-time control of 6G network services. A: International Conference on Transparent Optical Networks. "24th ICTON 2024, International Conference on Transparent Optical Networks: July 14th-18th, 2024, Bari, Italy: conference proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2024. ISBN 979-8-3503-7732-3. DOI 10.1109/ICTON62926.2024.10647825 .
ISBN979-8-3503-7732-3
Publisher versionhttps://ieeexplore.ieee.org/document/10647825
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