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相关概念视频

Quality Assurance01:19

Quality Assurance

126
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
126
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

519
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
519
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

1.6K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
1.6K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

687
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
687
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

4.1K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
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相关实验视频

Updated: Jul 5, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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多复制品完整性检查方案,支持基于云的物联网物联网的概率审计.

Yilin Yuan1, Fan Yang1, Xiao Wang2,3,4

  • 1College of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China.

PeerJ. Computer science
|January 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种针对多个副本的新型云数据完整性验证方案,以确保数据在不同提供商之间存储. 它通过使用概率审计和基于身份的加密来增强物联网 (IoT) 电子健康记录 (EHR) 的安全性.

关键词:
欧洲人机数据 欧洲人机数据基于身份的加密方式.多重复制品完整性验证验证概率审计是一项概率审计.公共审计 公共审计

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科学领域:

  • 云计算安全 云计算安全
  • 数据完整性验证 数据完整性验证
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.

背景情况:

  • 用户将多个数据副本存储在云中,以获得耐用性,但缺乏直接控制,这引发了安全问题.
  • 现有的多副本完整性验证方案往往无法确保数据在不同的云服务提供商 (CSP) 中存储.

研究的目的:

  • 提出一种新的方案,用于同步跨多个CSP存储的数据副本的完整性验证.
  • 提高物联网 (IoT) 电子健康记录 (EHR) 数据在云环境中的安全性和完整性.

主要方法:

  • 引入了云服务管理器 (CSM) 和对复制文件的同型验证标签.
  • 开发了一个概率审计机制,以确保文件存储在不同的CSP上.
  • 使用基于身份的加密 (IBE) 进行高效和安全的实施.

主要成果:

  • 拟议的方案确保复制文件存储在不同的CSP上,保证公共审计.
  • 对伪造,替换和重复攻击有明显的抵抗力.
  • 绩效分析证实了该计划的可行性和有效性.

结论:

  • 这种新方案有效地解决了现有的多副本完整性验证方法的局限性.
  • 它为存储在多个CSP的敏感物联网EHR数据提供了强大的安全性和完整性保证.