TY - GEN
T1 - 6GENABLERS
T2 - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
AU - Asad, Muhammad
AU - Fernandez-Fernandez, Adriana
AU - Chergui, Hatim
AU - Compastie, Maxime
AU - Montagud, Mario
AU - Fernandez, Sergi
AU - Siddiqui, Shuaib
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The sixth generation of mobile networks endeavors to cater the needs of different verticals by intrinsically supporting the deployment and operation of applications delivered by third-party providers in a multi-domain scenario. However, this raises several management challenges due to the diversity of stakeholders proposing heterogeneous networking technologies, impacting application's orchestration life-cycle meanwhile increasing the already complicated vulnerable surface area. Hence, these applications require a trusted resource acquisition and execution, transparency of automated management processes and resilience against security threats. In this position paper, we introduce the UNICO 6GENABLERS research project that will investigate (i) explainable AI techniques for the lifecycle management of ML models used for orchestration, (ii) trustworthy resource trading via a DLT-anchored marketplace and (iii) privacy and security preservation of 6G networks through a unified security management plane. This paper presents the foundation of the 6GENABLERS project, justifies its contribution by a review of similar efforts, and exposes its validation settings and methodology. Specifically, the outcomes of this project will be validated through a holographic communication use case to demonstrate its advancements in the efficiency, trustworthiness and security of a typical 6G platform.
AB - The sixth generation of mobile networks endeavors to cater the needs of different verticals by intrinsically supporting the deployment and operation of applications delivered by third-party providers in a multi-domain scenario. However, this raises several management challenges due to the diversity of stakeholders proposing heterogeneous networking technologies, impacting application's orchestration life-cycle meanwhile increasing the already complicated vulnerable surface area. Hence, these applications require a trusted resource acquisition and execution, transparency of automated management processes and resilience against security threats. In this position paper, we introduce the UNICO 6GENABLERS research project that will investigate (i) explainable AI techniques for the lifecycle management of ML models used for orchestration, (ii) trustworthy resource trading via a DLT-anchored marketplace and (iii) privacy and security preservation of 6G networks through a unified security management plane. This paper presents the foundation of the 6GENABLERS project, justifies its contribution by a review of similar efforts, and exposes its validation settings and methodology. Specifically, the outcomes of this project will be validated through a holographic communication use case to demonstrate its advancements in the efficiency, trustworthiness and security of a typical 6G platform.
KW - 6G
KW - AI/ML-based network management
KW - distributed ledgers
KW - privacy and security management
UR - http://www.scopus.com/inward/record.url?scp=85190497777&partnerID=8YFLogxK
U2 - 10.1109/CAMAD59638.2023.10478383
DO - 10.1109/CAMAD59638.2023.10478383
M3 - Conference proceedings published in a book
AN - SCOPUS:85190497777
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
SP - 55
EP - 60
BT - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 November 2023 through 8 November 2023
ER -