Securing O-RAN with Post-Variational Quantum Neural Networks and Blockchain-enabled Zero Trust Architecture for Vehicular Networks
Paper Title: Securing O-RAN with Post-Variational Quantum Neural Networks and Blockchain-enabled Zero Trust Architecture for Vehicular Networks
Journal Name: IEEE Transactions on Vehicular Technology
Abstract: Rapid changes in the network are one of the
characteristics of vehicular networks, which are not suitable for
traditional radio access networks (RAN). Open radio access net-
work (O-RAN) offers significant potential for scalability through
vendor and operator interoperability, open interfaces, and net-
work flexibility, making it well-suited for vehicular network and
6th generation (6G) mobile network. However, this flexibility and
interoperability cost of security issues. To overcome the security
threats and ensure discipline among multiple operators in O-
RAN, this paper introduces a multilayer secure architecture
P ureORAN combined with post-variational quantum neural
networks (PVQNN) and zero trust architecture (ZTA) with
blockchain. The ZTA architecture, in conjunction with zero
knowledge proof (ZKP), ensures network security, anonymity,
and authenticity for the user. PVQNN is applied for network
traffic detection. Additionally, abnormal traffic patterns detected
by P ureORAN are recorded on the blockchain to facilitate
secure and transparent governance. Finally, the proposed security
solution was evaluated using the 5G-NIDD dataset and achieved
over 99% accuracy in the 3rd locality.