@inproceedings{49553715da1847a5b4b9a5da78d690fa,
title = "Blockchain-enabled FD-NOMA based Vehicular Network with Physical Layer Security",
abstract = "Vehicular networks are vulnerable to large scale attacks. Blockchain, implemented upon application layer, is recommended as one of the effective security and privacy solutions for vehicular networks. However, due to an increasing complexity of connected nodes, heterogeneous environment and rising threats, a robust security solution across multiple layers is required. Motivated by the Physical Layer Security (PLS) which utilizes physical layer characteristics such as channel fading to ensure reliable and confidential transmission, in this paper we analyze the impact of PLS on a blockchain-enabled vehicular network with two types of physical layer attacks, i.e., jamming and eavesdropping. Throughout the analysis, a Full Duplex Non-Orthogonal Multiple Access (FD-NOMA) based vehicle-to-everything (V2X) is considered to reduce interference caused by jamming and meet 5G communication requirements. Simulation results show enhanced goodput of a blockckchain enabled vehicular network integrated with PLS as compared to the same solution without PLS.",
keywords = "blockchain, data rate., eavesdropper, FD-NOMA, goodput, physical layer security, secrecy rate",
author = "Ferheen Ayaz and Zhengguo Sheng and Ho, \{Ivan Weng Hei\} and Daxin Tiany and Zhiguo Ding",
note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement No 101006411, Royal Society Kan Tong Po International Fellowship (KTP\textbackslash{}R1\textbackslash{}201007). The research is also supported in part by the National Natural Science Foundation of China under Grant No. U20A20155, Beijing Municipal Natural Science Foundation under Grant No. L191001, Newton Advanced Fellowship under Grant No. 62061130221. Publisher Copyright: {\textcopyright} 2022 IEEE.; 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring ; Conference date: 19-06-2022 Through 22-06-2022",
year = "2022",
doi = "10.1109/VTC2022-Spring54318.2022.9860421",
language = "British English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings",
address = "United States",
}