Computer Science - Networking and Internet Architecture; Computer Science - Cryptography and Security
Résumé :
[en] Due to the enormous potential for economic profit offered by artificial
intelligence (AI) servers, the field of cybersecurity has the potential to
emerge as a prominent arena for competition among corporations and governments
on a global scale. One of the prospective applications that stands to gain from
the utilization of AI technology is the advancement in the field of
cybersecurity. To this end, this paper provides an overview of the possible
risks that the physical layer may encounter in the context of 6G
Non-Terrestrial Networks (NTN). With the objective of showcasing the
effectiveness of cutting-edge AI technologies in bolstering physical layer
security, this study reviews the most foreseeable design strategies associated
with the integration of edge AI in the realm of 6G NTN. The findings of this
paper provide some insights and serve as a foundation for future investigations
aimed at enhancing the physical layer security of edge servers/devices in the
next generation of trustworthy 6G telecommunication networks.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Chou, Hong-fu
SOLANKI, Sourabh ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SigCom > Team Symeon CHATZINOTAS
Nguyen Ha, Vu
CHEN, Lin ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SigCom > Team Eva LAGUNAS
Longyu Ma, Sean
AL-HRAISHAWI, Hayder ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SigCom > Team Symeon CHATZINOTAS
EAPPEN, Geoffrey ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHOU, Hung-Pu ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
✱ Ces auteurs ont contribué de façon équivalente à la publication.
Langue du document :
Anglais
Titre :
Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats and Future Opportunities