A Verifiable Dynamic Multi-secret Sharing Obfuscation Scheme Applied to Data LakeHouse

Shuai Tang*, Tianshi Mu, Jun Zheng, Yurong Fu, Quanxin Zhang, Jie Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the context of the evolving Data LakeHouse distributed architecture and the inescapable challenges posed by DM-Crypt, a verifiable dynamic multi-secret sharing obfuscation scheme applied to the Data LakeHouse is proposed. In the proposed scheme, participants select their shadows using a secure one-way function and hide their true identities for self-protection. This scheme can conceal the actual key within any dimension of the homogeneous linear equation system. It can verify whether the distributor, participant, or key restorer has committed fraud by comparing the hash information published by the previous operator on the public bulletin board with the hash information calculated by the current operator. Enables dynamic addition or deletion of participants, dynamic key modification, and periodic key updates. Among these dynamic operations, it is fully dynamic only when participants are added or deleted, as long as the remaining participants meet the minimum decryption threshold. In other cases, the process is semi-dynamic, requiring modifications to information related to other participants. The security of the scheme is based on the Shamir threshold scheme, the asymmetric key encryption system (RSA), a secure and tamper-resistant hash function, and a secure one-way computation function.

Original languageEnglish
Title of host publicationArtificial Intelligence Security and Privacy - 1st International Conference on Artificial Intelligence Security and Privacy, AIS and P 2023, Proceedings
EditorsJaideep Vaidya, Moncef Gabbouj, Jin Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages316-327
Number of pages12
ISBN (Print)9789819997848
DOIs
Publication statusPublished - 2024
Event1st International Conference on Artificial Intelligence Security and Privacy, AIS and P 2023 - Guangzhou, China
Duration: 3 Dec 20235 Dec 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14509 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Artificial Intelligence Security and Privacy, AIS and P 2023
Country/TerritoryChina
CityGuangzhou
Period3/12/235/12/23

Keywords

  • Data LakeHouse
  • Key Management
  • Threshold scheme
  • Verifiable Dynamic Multi-Secret Sharing

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