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Open AccessArticle

Detection Method of Data Integrity in Network Storage Based on Symmetrical Difference

School of Electronics and Information Engineering, Sias University of Zhengzhou, Xinzheng 451150, China
Symmetry 2020, 12(2), 228; https://doi.org/10.3390/sym12020228
Received: 15 November 2019 / Revised: 24 December 2019 / Accepted: 26 December 2019 / Published: 3 February 2020
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. View Full-Text
Keywords: symmetric difference; network; data integrity; detection symmetric difference; network; data integrity; detection
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Ding, X. Detection Method of Data Integrity in Network Storage Based on Symmetrical Difference. Symmetry 2020, 12, 228.

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