Verifiable secret sharing

About: Verifiable secret sharing is a research topic. Over the lifetime, 4241 publications have been published within this topic receiving 99569 citations.

A Quantum Information Theoretical Model for Quantum Secret Sharing Schemes

Abstract: In this paper we introduce a quantum information theoretical model for quantum secret sharing schemes. We show that quantum information theory provides a unifying framework for the study of these schemes. We prove that the information theoretical requirements for a class of quantum secret sharing schemes reduce to only one requirement (the recoverability condition) as a consequence of the no-cloning principle. We give also a shorter proof of the fact that the size of the shares in a quantum secret sharing scheme must be at least as large as the secret itself.

Anonymous and Verifiable Reputation System for E-commerce Platforms based on Blockchain

Abstract: E-commerce platforms incorporate reputation systems that allow customers to rate suppliers following financial transactions. Existing reputation systems cannot defend the centralized server against arbitrarily tampering with the supplier’s reputation. Furthermore, they do not offer reputation access across platforms. Rates are faced with privacy leakages because rating activities are correlated with privacy (e.g., identity and rating). Meanwhile, raters could be malicious and initiate multiple rating attacks and abnormal rating attacks. Determining how to address these issues have both research and practical value. In this paper, we propose a blockchain-based privacy-preserving reputation system for e-commerce platforms named RepChain; our system allows cross-platform reputation access and anonymous and private ratings. Using RepChain, all e-commerce platforms collaborate and share users’ reputations by co-constructing a consortium blockchain and modeling the rating process as a finite state machine. In particular, we facilitate one-show anonymous credentials constructed from two-move blind signatures to protect customers’ identities and resist multiple rating attacks, leverage zero-knowledge range proof to verify the correctness of ratings and defend against abnormal rating attacks, design a secure sum computation protocol among nodes to update reputations, and verify ratings via batch processing and consensus hashes. Finally, we demonstrate the security and privacy of RepChain via a formal analysis and evaluate its performance based on Ethereum test network.

VCSE: Verifiable conjunctive keywords search over encrypted data without secure-channel

Abstract: Data outsourcing service has gained remarkable popularity with considerable amount of enterprises and individuals, as it can relief heavy computation and management burden locally. While in most existing models, honest-but-curious cloud service provider (CSP) may return incorrect results and inevitably give rise to serious security breaches, thus the results verification mechanism should be raised to guarantee data accuracy. Furthermore, the construction of secure-channel incurs heavy cryptographic operations and single keyword search returns many irrelevant results. Along these directions, we further design a significantly more effective and secure cryptographic primitive called as verifiable conjunctive keywords search over encrypted data without secure-channel scheme to assure data integrity and availability. Formal security analysis proves that it can effectively stand against outside keyword-guessing attack. As a further contribution, our actual experiments show that it can admit wide applicability in practice.