Research paper presents blockchain method for VANET authentication and data privacy
A study published June 3, 2026, describes a blockchain-based system that combines an adaptive echo state network and dual trapdoor homomorphic encryption to authenticate nodes and protect data in vehicular networks.
link.springer.comA research paper published June 3, 2026, outlines a blockchain-driven system intended to improve node authentication and protect data exchanged in Vehicular Ad Hoc Networks. The approach uses an Adaptive Echo State Network tuned by the Position Updated Enhanced Frilled Lizard Optimization algorithm, along with a dual trapdoor homomorphic encryption method labeled DTHE-OMK.
Authentication performance metrics Tests reported accuracy differences ranging from 4.248 percent to 8.353 percent when compared with several existing optimization algorithms and neural network models. The same evaluation recorded balanced accuracy, F1-score, and other standard measures for the proposed combination of techniques.
Conclusion and publication details The authors state that the combined methods aim to increase both the integrity and safety of information shared across VANETs. The paper appears in Scientific Reports with the DOI 10.1038/s41598-026-49125-7 and lists four authors affiliated with engineering and computing departments at institutions in Chennai and Manipal, India.
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