Data integrity verifying method under multi-cloud environment

Abstract

Disclosed is a data integrity verifying method under a multi-cloud environment. The data integrity verifying method comprises the following steps of preprocessing, challenging-responding, user verifying and dynamic upgrading. The first stage (preprocessing) is executed by a client side and comprises the steps of initializing, file partitioning, data label generating and file, label and public parameter storing. The second stage (challenging-responding) is an interaction process between a user and a cloud service provider, the user initiates a challenge to the cloud service provider before data upgrading or after data upgrading, a server makes a corresponding response and the user conducts integrity verifying according to the response made by the server. The third stage (user verifying) is executed by the user, when the user receives data P={P1, P2} returned by an organizer, the user obtains stored public parameters from a reliable third party, the integrity of the data stored in the cloud service provider is verified and if verification successes, accept is output and otherwise reject is output. In the fourth stage (dynamic upgrading), when the user needs to conduct dynamic operation on the data, the user works out new labels and sends the new labels to the organizer and then, the organizer conducts distributed storage.

Description

technical field [0001] The invention relates to a data integrity verification method in a multi-cloud environment, that is, a data integrity verification method capable of supporting public verification and dynamic update of data in a multi-cloud storage environment, and belongs to the field of cloud computing security. Background technique [0002] Cloud storage is an online storage mode, that is, the user (client) and the server (cloud) store their outsourced data in the cloud through a certain agreement. This emerging storage method has the flexibility and low cost of cloud computing. cost and scalability. Users can access the cloud anytime and anywhere to obtain their own data; according to the "pay as you go" (pay as you go) method, they pay according to the actual storage space used, which reduces the cost of data maintenance and storage equipment, and can Scale according to storage needs. [0003] At the same time, there are many security issues in cloud storage, am...

AI Technical Summary

Problems solved by technology

Since the previous solution only targets a single cloud storage service provider, users can only verify the data integrity of one service provider at a time, so in a multi-cloud environment, each service provider needs to be challenged separately, so that not only Execution is inefficient and communication is expensive

The CPDP scheme was proposed in the article "Cooperative Provable Data Possession for Integrity Verification in Multicloud Storage" published by Yan Zhu et al. Verification in MultiCloud Storage”, IEEE Transactions on Parallel and Distributed Systems, 23(12), 2012, 2231-2244), which realized data integrity verification in a multi-cloud environment, but there are loopholes in the design of the scheme (references: Huaqun Wang, Yuqing Zhang, "On the Knowledge Soundness of a Cooperative Provable Data Possession Scheme in Multicloud Storage", IEEE Transactions on Parallel and Distributed Systems, 2013)

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