Provable Data Possession Schemes from Standard Lattices for Cloud Computing

Author:

Luo Fucai1,Al-Kuwari Saif12,Lin Changlu3,Wang Fuqun45,Chen Kefei45

Affiliation:

1. College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

2. Kindi Computing Research Center, Qatar University, Doha, Qatar

3. College of Mathematic and Informatics, Fujian Normal University, Fuzhou, China

4. Department of Mathematics, Hangzhou Normal University, Hangzhou, China

5. Westone Cryptologic Research Center, Beijing, China

Abstract

Abstract Provable Data Possession (PDP) is of crucial importance in public cloud storage since it allows users to check the integrity of their outsourced data without downloading it. However, the existing PDP schemes, which are based on classical number-theoretic assumptions, are insecure under quantum attacks. In this paper, we propose the first PDP scheme from standard lattices, using a specific leveled fully homomorphic signature (FHS) scheme. To remove the complex key management of PDP cryptosystem on the public key infrastructure (PKI) setting, we employ a specific leveled identity-based (ID-based) FHS scheme to construct the first ID-based PDP scheme from standard lattices. Our two PDP schemes are secure under the standard small integer solution (SIS) assumption, which is conjectured to withstand quantum attacks. Furthermore, we conduct experimental evaluations to validate the feasibility of the proposed PDP schemes in practice.

Funder

National Natural Science Foundation of China

Research Foundation of Hangzhou Normal University

Scientific Research Fund of Zhejiang Provincial Education Department

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IPOD2: an irrecoverable and verifiable deletion scheme for outsourced data;The Computer Journal;2024-06-30

2. Blockchain-Based Incentive and Arbitrable Data Auditing Scheme;2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2022-06

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