Z.N. Dakuo , S.V. Bezzateev , V. V. Davydov , I.D. Ioganson , А.F. Khutsaeva
201-212
2026-09-10
Abstract ▼
Existing electronic voting protocols often feature an architecture where ballot submission is an irreversible action. This significantly reduces system usability, depriving the participant of the right to correct an accidental error or change their opinion during lengthy decision-making procedures. The aim of the work is to develop a model of a cryptographic protocol that provides a native capability for multiple decision changes to enhance usability while maintaining strict anonymity and counting correctness. The architecture is based on the integration of a trapdoor commitment scheme to implement choice flexibility, a verifiable random function (VRF) for ballot generation, the Privacy Pass protocol for anonymous authorization, and mix-networks. An electronic voting protocol has been developed that implements the possibility for a participant to change their decision multiple times. The fulfillment of basic and some extended security properties, including, but not limited to, participant confidentiality and universal verifiability, has been theoretically proven. It is shown that, unlike existing analogs, changing a decision in the proposed model does not require repeating a complex authentication procedure or key revocation, which minimizes the number of interactive user actions. The proposed solution aligns the user experience of secure voting with the standards of modern digital services by providing a choice editing function, thereby increasing the convenience of the voting procedure for participants. The modular structure of the model allows for the application of any robust cryptographic algorithms, including post-quantum ones
We are living in the today’s society, where we have fairly-enough storage capacity and processing power, the only issue is with security. As, the technologies are evolving with faster rate, we are tend to grow the use of electronic devices rapidly in todays’ society, it started to flow or leakage of personal information around/across, which then leads to breach of this information. Now, personal or identical verification is key problem is being crucial. So whatever traditional methods we have for providing authentication or security those have proven inadequate to be unreliable and do not provide strong security. Biometric template protection is one of the most important issues in securing today’s biometric system. We have many algorithms which don’t give adequate solution for the same. So we tried to give a method which will reach to the expectations more satisfactorily and certainly to the extent required. In this paper we have discussed a hybrid method for finger vein biometric recognition based on deep learning approach using BDD and fuzzy commitment schemes. The proposed hybrid method consists of four parts, namely Finger vein feature extraction, BDD-based secure template generation, Fuzzy commitment scheme and ML based finger vein recognition and decision making. Thus it has four module and each module works efficiently and gives accurate results on all databases.
