Zero-Knowledge Voting Tokens for Anonymous Vote Integrity
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Solution Overview
Problem
Existing voting systems face challenges in securely transmitting and storing voter information, maintaining voter confidentiality, and verifying vote integrity due to inadequate encryption protocols and centralized data storage, which can lead to unauthorized modifications, data loss, and breaches.
Innovation Solution
Implementing cryptographic proofs and token-based verification using decentralized architectures, such as distributed tree data structures and zero-knowledge proofs, to secure and verify votes while maintaining anonymity and integrity, and utilizing a customized cybersecurity framework to adapt to evolving threats and vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If centralized data storage is used for voting systems, then ease of operation is improved, but security and vulnerability to breaches worsen
Solution Approach 1:
The patent segments the centralized voting system into multiple decentralized components: distributed nodes, token-based verification systems, and separate functional modules for vote casting, verification, and counting. This segmentation eliminates single-point failures and reduces vulnerability to breaches while maintaining operational ease through standardized interfaces.
2Reliability
If cryptographic proofs and zero-knowledge verification are implemented, then vote integrity and confidentiality are improved, but device complexity increases
Solution Approach 1:
The patent introduces cryptographic proofs and zero-knowledge verification as intermediary mechanisms between vote casting and vote counting. These intermediaries provide mathematical guarantees of integrity and confidentiality without requiring complex trust relationships between system participants, thereby managing complexity through well-defined cryptographic protocols.
3Reliability
If token-based verification with nullifiers is used, then prevention of duplicate voting and maintenance of anonymity are improved, but loss of information increases
Solution Approach 1:
The patent extracts the voting eligibility verification from the vote content itself by using separate casting tokens and nullifiers. The nullifier mechanism extracts and destroys the eligibility proof after use, preventing duplicate voting while the zero-knowledge properties of the tokens extract only the necessary verification information, preserving voter anonymity and minimizing information loss.
4Reliability
If decentralized architecture is implemented, then security against unauthorized modifications is improved, but device complexity and processing requirements worsen
Solution Approach 1:
The patent merges multiple security functions into unified cryptographic operations: the same zero-knowledge proof mechanism provides both authentication and integrity verification, while the distributed ledger combines storage, verification, and consensus functions. This merging reduces overall system complexity despite the decentralized architecture by eliminating redundant security layers.
Data Source
AI summary
Systems, methods, and computer-readable storage media for protecting data. A data protection system can include one or more processing circuits including memory and at least one processor configured to register an entity or user for voting based on issuing an eligibility token corresponding with the entity or user, receive, responsive to registering, a casting token including a vote of the entity or user and a confirmation token including a cryptographic proof of receipt of the casting token, encrypt the vote of the entity or user for inclusion in a vote count, verify the casting token using a proof model and the confirmation token based on generating an inclusion token including a cryptographic proof of inclusion of the vote in the vote count, and issue a certification token corresponding with verifying the casting token, the certification token including a cryptographic proof of an integrity of the vote count.