SwiftRange: A Short and Efficient Zero-Knowledge Range Argument For Confidential Transactions and More
Nan Wang, Sid Chi-Kin Chau, DongXi Liu
IEEE Symposium on Security and Privacy 2024 · Day 2 · Continental Ballroom 6
In an era where digital transactions are increasingly prevalent, the need for both transparency and privacy presents a significant challenge, particularly within decentralized blockchain systems. This talk by Nan Wang, a Post-doc Research Fellow at CSIRO, alongside collaborators Sid Chi-Kin Chau and DongXi Liu, introduces **SwiftRange**, a novel **zero-knowledge range argument** designed to bolster privacy in confidential transactions and other privacy-preserving applications. SwiftRange offers a compelling advancement in cryptographic proofs, specifically addressing the critical requirement that hidden transaction amounts remain non-negative without revealing the actual values.
AI review
SwiftRange offers a genuinely novel zero-knowledge range argument, achieving superior prover and verifier efficiency over Bulletproofs without a trusted setup. Its clever adaptation of compression protocols for quadratic settings makes it a critical, high-impact primitive for confidential transactions and privacy-preserving systems.