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Related Concept Videos

Quality Assurance01:19

Quality Assurance

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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...
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Distribution Reliability and Automation01:25

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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...
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Propagation of Uncertainty from Systematic Error01:10

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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...
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Types of Errors: Detection and Minimization01:12

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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.
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Propagation of Uncertainty from Random Error00:59

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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...
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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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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Multi-replicas integrity checking scheme with supporting probability audit for cloud-based IoT.

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
Summary
This summary is machine-generated.

This study introduces a novel cloud data integrity verification scheme for multiple copies, ensuring data is stored across different providers. It enhances security for Internet of Things (IoT) electronic health records (EHR) using probability audits and identity-based encryption.

Keywords:
EHR dataIdentity-based encryptionMulti-replicas integrity verificationProbability auditPublic auditing

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Area of Science:

  • Cloud Computing Security
  • Data Integrity Verification
  • Internet of Things (IoT)

Background:

  • Users store multiple data copies in the cloud for durability, but lack direct control, raising security concerns.
  • Existing multicopy integrity verification schemes often fail to ensure data is stored across different Cloud Service Providers (CSPs).

Purpose of the Study:

  • To propose a novel scheme for synchronizing integrity verification of data copies stored across multiple CSPs.
  • To enhance the security and integrity of Internet of Things (IoT) electronic health record (EHR) data in cloud environments.

Main Methods:

  • Introduced a Cloud Service Manager (CSM) and homomorphic verification tags for replica files.
  • Developed a probability audit mechanism to ensure files are stored on different CSPs.
  • Utilized identity-based encryption (IBE) for efficient and secure implementation.

Main Results:

  • The proposed scheme ensures replica files are stored on distinct CSPs, guaranteeing public auditing.
  • Demonstrated resistance against forgery, replacement, and replay attacks.
  • Performance analysis confirmed the scheme's feasibility and effectiveness.

Conclusions:

  • The novel scheme effectively addresses the limitations of existing multicopy integrity verification methods.
  • It provides robust security and integrity assurance for sensitive IoT EHR data stored across multiple CSPs.