Cloud environment data integrity verification method based on fully homomorphic encryption

Abstract

A cloud environment data integrity verification method based on fully homomorphic encryption comprises the steps of initializing parameters, initializing a secret key, generating a homomorphic label,storing a file and the label, initializing a verification challenge, generating an integrity evidence and verifying the integrity evidence. A fully homomorphic encryption algorithm and a mixed data dynamic data operation algorithm are utilized for performing data encryption, safety verification and performance optimization, thereby realizing a purpose of performing safety verification on the datastored in a cloud platform. The verification method comprises the steps of firstly, generating a homomorphic label by means of a fully homomorphic encryption method; secondly, performing remote numberintegrity verification on the data by means of the homomorphic label; thirdly, performing dynamic operation on the encrypted data by means of a mixed data dynamic operation method; and finally, performing safety analysis. Not only can high-efficiency supporting to a multi-granularity dynamic operation of the user realized, but also communication cost in performing the dynamic operation process bythe user and performing a remote data integrity verification process by an auditor can be reduced.

Description

technical field [0001] The invention relates to the technical field of information security, and more particularly, to a cloud environment data integrity verification method based on fully homomorphic encryption. Background technique [0002] In essence, the data in big data applications is dynamic, such as surveillance data, Internet data, etc. In fact, except for some large static data, such as libraries and electronic archives, the data in large data applications have been constantly updated. In many applications, data updates are very frequent, such as social networking and business transactions. Therefore, it is very important for cloud security mechanisms, such as a public audit scheme, to effectively support dynamic data. Security issues mainly involve three aspects: integrity, confidentiality and availability. For integrity, public auditing or auditing cloud data, that is, verifying data integrity from an external organization, has become a widely investigated iss...

AI Technical Summary

Problems solved by technology

[0005] 1. Only a limited number of data integrity verifications can be performed;

[0006] 2. Most data integrity verification schemes are based on public key encryption technology, which has too much computational overhead;

[0007] 3. Some schemes do not support public verification;

[0008] 4. Some solutions are not suitable for cloud storage massive data service model issues

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