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Related Experiment Video

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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Provenance based data integrity checking and verification in cloud environments.

Muhammad Imran1, Helmut Hlavacs2, Inam Ul Haq3

  • 1Department of Computer Science, Sarhad University of Science & Information Technology, Peshawar, Pakistan.

Plos One
|May 26, 2017
PubMed
Summary
This summary is machine-generated.

Cloud computing offers cost savings but raises data security concerns. This study introduces a novel data provenance scheme to verify data integrity in cloud storage without third parties or data replication.

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Area of Science:

  • Computer Science
  • Information Security
  • Data Management

Background:

  • Cloud computing centralizes data in remote storage, leading to user data control loss.
  • Ensuring data integrity in cloud environments is a significant security and privacy challenge.
  • Existing methods like mirroring or third-party auditors have limitations such as increased storage or reliance on external entities.

Purpose of the Study:

  • To propose a novel scheme for verifying data integrity in cloud storage.
  • To enable users to detect data integrity violations.
  • To reduce reliance on third-party services and client-side data replication for integrity checks.

Main Methods:

  • Utilizing the concept of Data Provenance within cloud computing.
  • Developing a scheme for users to independently verify data integrity.
  • Implementing mechanisms for tracking data integrity violations.

Main Results:

  • The proposed scheme allows users to confirm the integrity of their cloud-stored data.
  • It effectively detects and allows tracking of data integrity compromises.
  • The method eliminates the need for data replication on the client side.
  • It reduces the dependency on third-party auditors and additional hardware.

Conclusions:

  • Data provenance offers a viable solution for ensuring data integrity in cloud computing.
  • The developed scheme enhances user control and data security in cloud environments.
  • This approach provides an efficient and independent method for data integrity verification.