Lattice-based Zero-knowledge Proofs for Blockchain
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Lattice-based Zero-knowledge Proofs for Blockchain

Author : karlyn-bohler | Published Date : 2025-05-29

Description: Latticebased Zeroknowledge Proofs for Blockchain Confidential Transactions Shang GAO Tianyu ZHENG Yu GUO Zhe PENG Bin XIAO 2025515 PKC 2025 Bitcoin Transactions Public ledger for verification Alice Bob Verifier Bitcoin Transactions

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Transcript:Lattice-based Zero-knowledge Proofs for Blockchain:
Lattice-based Zero-knowledge Proofs for Blockchain Confidential Transactions Shang GAO, Tianyu ZHENG, Yu GUO, Zhe PENG, Bin XIAO 2025/5/15 PKC 2025 Bitcoin Transactions Public ledger for verification Alice Bob Verifier Bitcoin Transactions Public ledger for verification Alice Bob Verifier Bitcoin Transactions Public ledger for verification I know account IDs and amounts accordingly. Alice Bob Verifier Anonymous Cryptocurrency ID and amounts should be private Alice Bob Verifier I learn nothing about IDs and amounts. Confidential Transactions Range proofs to hide the amount and allow verification at the same time Confidentiality Alice Bob Verifier Convinced that both two relations hold, but still know nothing about amounts Ring Confidential Transactions Ring signature to hide the identity. Anonymity Alice Bob Verifier Problems and Challenges Some lattice-based solutions are proposed, but not efficient in RingCT protocols [EZS+19, ESZ20]. Proof size is about 5~40x larger than traditional solutions. Proving/verification time is about 2-4x slower. Some techniques are not well-designed in lattice settings! Problems and Challenges To propose efficient and post-quantum RingCT protocols for anonymous cryptocurrencies. New balance proofs under HMC. New relations for linkable ring signatures. New post-quantum RingCT protocol. Beneficiaries Anonymous cryptocurrencies. Privacy-preserving applications (e.g., anonymous e-voting). Zk-Rollups. Objective [GZGX21] S. Gao, T. Zheng, Y. Guo, and B. Xiao, “Efficient and Post-Quantum Zero-Knowledge Proofs for Blockchain Confidential Transaction Protocols,” IACR Cryptology ePrint Archive, 2021 Balance Proof Range Proof and Balance Proof Range Proof and Balance Proof Binary proof Balance Proof Balance Proof Balance Proof Ring Signature One-out-of-many Proof User group Verifier Binary proof MatRiCT [EZS+19] and MatRiCT+ [ESZ20] use this technique [GK15] directly in lattice-based RingCT protocols. Unfortunately, in lattice settings, the binary proof requires larger parameters than other parts, which results in a larger proof size. One-out-of-many Proof Can we remove the costly binary proof ? This indicates a weaker relation: the “linear sum relation”. Is this weaker relation still secure for ring signatures? Linear sum relation is sufficient for ring signatures! (see our paper for the detailed proofs). Linear Sum Proof Can we remove the costly binary proof [GZGX21]? This indicates a weaker relation: the “linear sum relation”. Is this weaker relation still secure for ring signatures? Linear sum relation is sufficient for ring signatures! (see our paper for the detailed proofs). Unfortunately, the linear sum proof cannot use some techniques in [GK15] to reduce the proof size. But we may consider an unbalanced relation: the prover runs with a stricter relation, and the

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