How to audit outsourced data in centralized storage like cloud is well-studied, but it is largely under-explored for the rising decentralized storage network (DSN) that bodes well for a billion-dollar market. To realize DSN as a usable service in a truly decentralized manner, the blockchain comes in handy -- to record and verify audit trails in forms of proof of storage, and based on that, to handle fair payments with necessary dispute resolution.
Leaving the audit trails on the blockchain offers transparency and fairness, yet it 1) sacrifices privacy, as they may leak information about the data under audit, and 2) overwhelms on-chain resources, as they may be practically large in size and expensive to verify. Prior auditing designs in centralized settings are not directly applicable here. A handful of proposals targeting DSN cannot satisfactorily address these issues either.
We present an auditing solution that addresses on-chain privacy and efficiency, from a synergy of homomorphic linear authenticators with polynomial commitments for succinct proofs, and the sigma protocol for provable privacy. The solution results in, per audit, 288-byte proof written to the blockchain, and constant verification cost. It can sustain long-term operation and easily scale to thousands of users on Ethereum.
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
Department of Electrical and Computer Engineering, University of Windsor（威省大学电气与计算机工程系）；Faculty of Computer Science, University of New Brunswick（新不伦瑞克大学计算机科学学院）
Towards trustworthy management of AIGC copyright: blockchain-enabled full lifecycle recording and multi-party auditing approach
The School of Business Administration, Jiangxi University of Finance and Economics（江西财经大学商学院）；Shanghai Aerospace Information Technology Research Institute（上海航天信息技术研究所）；The School of Business, Anhui University（安徽大学商学院）
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model
School of Cyberspace Science and Technology, Beijing Institute of Technology（信息科学与技术学院，北京理工大学）；School of AI, Beijing Institute of Technology（人工智能学院，北京理工大学）；Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China（民族语言智能分析与安全治理教育部重点实验室，中央民族大学）；School of Information Engineering, Minzu University of China（信息工程学院，中央民族大学）；Zhongguancun Academy, Haidian, Beijing, China（中关村学院，北京市海淀区，中国）
Hermes Seal: Zero-Knowledge Assurance for Autonomous Vehicle Communications
National Institute of Standards and Technology（美国国家标准与技术研究院）；Michigan Technological University（密歇根理工大学）；Southern Illinois University Edwardsville（南伊利诺伊大学爱德华兹维尔分校）
