Abstract
In order to enhance the recall and the precision performance of data integrity detection, a method to detect the network storage data integrity based on symmetric difference was proposed. Through the complete automatic image annotation system, the crawler technology was used to capture the image and related text information. According to the automatic word segmentation, pos tagging and Chinese word segmentation, the feature analysis of text data was achieved. Based on the symmetrical difference algorithm and the background subtraction, the feature extraction of image data was realized. On the basis of data collection and feature extraction, the sentry data segment was introduced, and then the sentry data segment was randomly selected to detect the data integrity. Combined with the accountability scheme of data security of the trusted third party, the trusted third party was taken as the core. The online state judgment was made for each user operation. Meanwhile, credentials that cannot be denied by both parties were generated, and thus to prevent the verifier from providing false validation results. Experimental results prove that the proposed method has high precision rate, high recall rate, and strong reliability.
Highlights
In recent years, the cloud computing becomes a new shared infrastructure based on the network.Based on Internet, virtualization, and other technologies, a large number of system pools and other resources are combined to provide users with a series of convenient services [1]
In the process of verifying the performance of the network storage data integrity detection based on symmetric difference, the experimental environment was 1 PC and the operating system was method based on symmetric difference, the experimental environment was 1 PC and the operating
The text data and image data are randomly storage database by the above method, so that the feasibility of the proposed method is verified by the crawled in the network storage database by the above method, so that the feasibility of the proposed precision rate of data integrity detection
Summary
Based on Internet, virtualization, and other technologies, a large number of system pools and other resources are combined to provide users with a series of convenient services [1]. The cloud computing has the advantages: providing convenient computing resource sharing pool, flexible resources, safe and controllable data, cost saving, unified management, and low-cost fault tolerance, so the related products of cloud service are more and more popular with users. With the rapid development of information technology, the traditional data storage mode cannot meet the new needs and challenges [2]. The cloud storage has attracted great attention due to its low cost and high efficiency. As a new storage mode, the cloud storage has attracted more and more attention with the rapid popularization. Based on the importance of data integrity detection, many excellent research results have been obtained in this field
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