| 互联网细粒度云存储数据匿名可信访问控制方法 |
投稿时间：2024-02-23 修订日期：2024-05-09  点此下载全文 |
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| 中文摘要:互联网细粒度云存储数据中的标签噪声,造成控制结果并发控制数较低,降低了匿名可信访问控制效果。因此,提出互联网细粒度云存储数据匿名可信访问控制方法。分析互联网云存储数据在链路传输过程中的噪声变化规律,得出该噪声的偏差特性。基于分析结果划分数据的粒度,度量噪声特征去除噪声。为数据添加信息签名来匿名验证数据密文,由此分析形成的数字签名计算信用度,实现数据的匿名可信访问控制。实验结果表明：所提方法应用后得出的访问控制结果,表现出的并发控制数较高,控制效率较高,满足了互联网云存储数据的安全保密需求。 |
| 中文关键词:互联网数据 云存储数据 数据访问控制 匿名访问 可信访问 细粒度数据 |
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| An Anonymous and Trusted Access Control Method for Internet Fine grained Cloud Storage Data |
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| Abstract:The label noise in fine-grained cloud storage data on the Internet results in low concurrency control and reduces the effectiveness of anonymous trusted access control. Therefore, a method for anonymous and trustworthy access control of internet fine-grained cloud storage data is proposed. Analyze the noise variation pattern of internet cloud storage data during link transmission, and obtain the deviation characteristics of this noise. Based on the analysis results, divide the granularity of the data and measure the noise feature to remove noise. Add information signatures to the data to anonymously verify the ciphertext, and analyze the resulting digital signature to calculate credibility, achieving anonymous and trustworthy access control of the data. The experimental results show that the access control results obtained after the application of the proposed method exhibit a high number of concurrent controls and control efficiency, meeting the security and confidentiality requirements of internet cloud storage data. |
| keywords:Internet data Cloud storage data Data access control Anonymous access Trusted access Fine grained data |
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