Secure Data Dissemination Scheme for Digital Twin Empowered Vehicular Networks in Open RAN

被引:0
|
作者
Kumar, Randhir [1 ]
Kumar, Prabhat [2 ]
Aljuhani, Ahamed [3 ]
Jolfaei, Alireza [4 ]
Islam, A. K. M. Najmul [2 ]
Mohammad, Nazeeruddin [5 ]
机构
[1] SRM Univ AP, Dept Comp Sci & Engn, Mangalagiri 522240, AP, India
[2] LUT Univ, LUT Sch Engn Sci, Dept Software Engn, Lappeenranta 53850, Finland
[3] Univ Tabuk, Dept Informat Technol, Tabuk 71491, Saudi Arabia
[4] Flinders Univ S Australia, Cyber Secur & Networking Coll Sci & Engn, Adelaide, SA 5042, Australia
[5] Prince Mohammad Bin Fahd Univ, Cybersecur Ctr, Al Khobar 34754, Saudi Arabia
关键词
Security; Servers; Radio access networks; Cloud computing; Blockchains; Trust management; Digital twins; Digital Twin; Deep Learning; Blockchain; Internet of Vehicles (IoV); Intrusion Detection System (IDS); Trustworthiness; DETECTION FRAMEWORK; BIDIRECTIONAL LSTM; REPUTATION; INTERNET; TRUST;
D O I
10.1109/TVT.2023.3342127
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The use of Open Radio Access Networks (Open RAN) in vehicular networks can lead to better connectivity, reliability, and performance. However, communication in this setting is often done over an unsecured wireless network, which creates a challenge in verifying the validity of received transactions by Internet of Vehicles (IoV) due to the untrusted network. It also creates a potential for attackers to tamper with the data content and conduct different IoV-related attacks. To address these issues, a new framework named "STIoV" has been proposed for secure and trustworthy communication in IoV. The framework includes a mutual authentication scheme to register and exchange session keys among the IoV participants, and a credit-based trust management system to assign reputation scores for the vehicular devices. The latter scheme discards transactions with low credit scores. To overcome the complexity and variability of the IoV network, digital twin technology is used to map Road Side Units (RSU) servers into virtual space, which facilitates constructing the vehicular relation model. An Intrusion Detection System (IDS) based on deep learning techniques is also introduced to detect anomalies in the traffic flow. The legitimate data is further used by the blockchain scheme for transaction verification, block creation and addition. Finally, the proposed framework has been evaluated based on two network intrusion datasets, and the results show the accuracy and efficacy of STIoV in comparison to several recent state-of-the-art solutions.
引用
收藏
页码:9234 / 9246
页数:13
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