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.

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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
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article

Impersonation Attack Using Quantum Shor’s Algorithm Against Blockchain-Based Vehicular Ad-Hoc Network

Kazi Hassan Shakib, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury
12 citations
IEEE Transactions on Intelligent Transportation Systems
Blockchain Technology Applications and Security
38.95
article

Impersonation Attack Using Quantum Shor’s Algorithm Against Blockchain-Based Vehicular Ad-Hoc Network

Kazi Hassan Shakib, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury
article en
12 citations

Abstract

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.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(5)
General Motors (United States) (US), University of Alabama (US), Kansas State University (US), Clemson University (US)
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
38.95
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Impersonation Attack Using Quantum Shor’s Algorithm Against Blockchain-Based Vehicular Ad-Hoc Network — Kazi Hassan Shakib, Mizanur Rahman, et al. · IEEE Transactions on Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS