A cloud environment data integrity verification method based on fully homomorphic encryption

Abstract

A method for verifying data integrity in a cloud environment based on fully homomorphic encryption, including the steps of initializing parameters, initializing secret keys, generating homomorphic tags, storing files and tags, users initiating verification challenges, generating integrity evidence, and verifying integrity evidence ; Adopt fully homomorphic encryption algorithm and mixed data dynamic data operation algorithm to perform data encryption, security verification and performance optimization respectively, so as to achieve the purpose of verifying the security of data stored on the cloud platform. The verification method first uses the method of fully homomorphic encryption to generate homomorphic tags; secondly, uses the homomorphic tags to verify the integrity of data remotely; thirdly, uses the analysis method of dynamic operation of mixed data to perform dynamic operations on encrypted data; Finally, safety analysis is carried out. Not only can it efficiently support users' multi-granularity dynamic operations, but it can also reduce the communication overhead of users performing dynamic operations and auditors performing remote data integrity verification processes.

Description

technical field [0001] The invention relates to the technical field of information security, and more specifically, relates to a method for verifying data integrity in a cloud environment based on fully homomorphic encryption. Background technique [0002] Essentially, 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 has been continuously 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 data in motion. Security issues mainly involve three aspects: integrity, confidentiality and availability. For integrity, public auditing or auditing of cloud data, i.e. verifying data integrity from external organizations, has been a widely investi...

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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