Distributed virtual machine agent architecture based on cloud environment and data integrity guaranteeing method

Abstract

The invention relates to distributed virtual machine agent architecture based on a cloud environment. A user virtual machine is expanded by use of the credible technology so as to create required environments suitable for various modules in the virtual machine agency, and the whole design system has flexibility and expandability and is cross-platform; the virtual machine agency is dynamically generated and has a certain life cycle, so that the function modification and expansion are simple and convenient. The invention further relates to a data integrity guaranteeing method of the distributed virtual machine agent architecture based on the cloud environment, the data is monitored in real time by use of a dynamic virtual machine agent technology based the cloud environment, the integrity of the data is effectively guaranteed, and the security and efficiency of the actual work are improved.

Description

technical field [0001] The invention relates to a distributed virtual machine agent architecture and a data integrity guarantee method based on a cloud environment, and belongs to the technical fields of trusted computing, cloud computing, information security, and the like. Background technique [0002] The increasing popularity and development of cloud computing technology has opened the door for users to use computing resources conveniently and at low cost, and has become a new infrastructure for the development of "Internet +". However, the separation of ownership and control of cloud user data has led to many security issues, such as data privacy leakage and data integrity damage. Therefore, it is necessary for cloud users to verify the integrity of their data. Remote data integrity verification is an effective way to solve this problem. It can verify data according to pre-stored data tags and "challenge-response" protocols without downloading user data. At present, th...

AI Technical Summary

Problems solved by technology

[0005] Existing data integrity verification protocols focus on probabilistic verification after data may be illegally tampered with, and cannot promptly and accurately distinguish between normal modification and illegal tampering when data is illegally tampered with

After calculation, if you want to achieve 99% verification accuracy, when the ratio of the number of damaged data blocks to the total number of data blocks is 0.1%, assuming that the total number of data blocks is 10,000, the number of challenges should be 4,600 blocks; when the damage ratio is 1 %, the number of challenges is 460 blocks. Therefore, in the case of relatively low damage, all the integrity protocols are relatively insufficient. In addition, the introduction of a third-party audit entity will lead to the potential threat of data privacy leakage to the third party, although it can be Random masking technology is used to label data, but it will undoubtedly increase the computational overhead

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