Results 41 to 50 of about 134 (87)

Integrating Reinforcement Learning into M/M/1/K Retry Queueing Models for 6G Applications. [PDF]

Sensors (Basel)
Talbi D, Gal Z.
europepmc   +1 more source

Intrusion detection system for V2X communication in VANET networks using machine learning-based cryptographic protocols. [PDF]

Sci Rep
Venkatasamy TK, Hossen MJ, Ramasamy G, Aziz NHBA.   +3 more
europepmc   +1 more source

Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition. [PDF]

Sci Rep
Alrslani FAF, Alohali MA, Aljebreen M, Alqahtani H, Alshuhail A, Alshammeri M, Almukadi WS.   +6 more
europepmc   +1 more source

A MITRE D3FEND guided blockchain based cyber resilient framework for IPv6 based 6G enabled healthcare networks. [PDF]

Sci Rep
Rohith K, Jain A, Shaik MN.
europepmc   +1 more source

PSO-Based Dynamic RSU Role Assignment Framework for Scalable and Reliable Content Delivery in VANETs. [PDF]

Sensors (Basel)
Shin Y, Choi H, Nam Y, Lee E.
europepmc   +1 more source

Federated learning for millimeter-wave spectrum in 6G networks: applications, challenges, way forward and open research issues. [PDF]

PeerJ Comput Sci
Qamar F, Kazmi SHA, Siddiqui MUA, Hassan R, Zainol Ariffin KA.   +4 more
europepmc   +1 more source

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SecCDV: A Security Reference Architecture for Cybertwin-Driven 6G V2X

IEEE Transactions on Vehicular Technology, 2022
Rongxing Lu, Chengzhe Lai, Dong Zheng
exaly   +3 more sources

Cybertwin Based Cloud Native Networks

Journal of Communications and Information Networks, 2023
Jiacheng Chen, Quan Yu, Haibo Zhou
exaly   +3 more sources

Cybertwin: An Origin of Next Generation Network Architecture [PDF]

IEEE Wireless Communications, 2019
14 pages, 5 figures, submitted to IEEE Wireless Communications Magazine on 7 April ...
Yinjin Fu, Quan Yu
exaly   +4 more sources

Efficient and Privacy-Preserving Speaker Recognition for Cybertwin-Driven 6G

IEEE Internet of Things Journal, 2021
With the introduction of cybertwin, a new approach to represent human or things in the cyberspace, it is foreseeable that vehicles will be able to offer more and more services in the future. Naturally, considering the safety of drivers, speaker recognition will be widely used in vehicle scenarios.
Xiaodong Lin, Qi Li
exaly   +3 more sources