Impersonation Attack Using Quantum Shor’s Algorithm Against Blockchain-Based Vehicular Ad-Hoc Network
Blockchain-based Vehicular Ad-hoc Network (VANET) is widely considered a secure communication architecture for a connected transportation system. With the advent of quantum computing, there are concerns regarding the vulnerability of this architecture against attack algorithms implemented in a quantum computer. In this study, a potential threat is investigated in a blockchain-based VANET with an impersonation attack utilizing Shor’s algorithm implemented in a quantum computer. Specifically, the impersonation attack using Shor’s algorithm is created by compromising the Rivest-Shamir-Adleman (RSA) encrypted digital signatures of VANET, and thus a threat to the trust-based blockchain scheme of VANET is successfully established. We implemented an integrated simulation platform combining OMNET++, vehicles-in-network simulation (VEINS), and simulation of urban mobility (SUMO) traffic simulator. In addition, we incorporated vehicle-to-everything (V2X) communication in OMNET++ using the extended INET library. An impersonation attack on a blockchain-based VANET is implemented using IBM Qiskit, which is an open-source quantum software development kit. The findings reveal that an impersonation attack is feasible on the Blockchain-based VANET, which compromises the trust chain of a blockchain-based VANET. This research highlights the need for a quantum-secured blockchain for VANET.
Authors
- Kazi Hassan Shakib (ORCID: https://orcid.org/0000-0002-7894-0719)
- Mizanur Rahman (ORCID: https://orcid.org/0000-0003-1128-753X)
- Mhafuzul Islam (ORCID: https://orcid.org/0000-0002-2890-3741)
- Mashrur Chowdhury (ORCID: https://orcid.org/0000-0002-3275-6983)
Institutions
- General Motors (United States) (US)
- University of Alabama (US)
- Kansas State University (US)
- Clemson University (US)
Publication Details
- Journal
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1109/tits.2025.3534656
- Citations
- 12
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 38.95