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An Improved ID-Based Data Storage Scheme for Fog-Enabled IoT Environments.

Han-Yu Lin1, Tung-Tso Tsai1, Pei-Yih Ting1

  • 1Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung 202, Taiwan.

Sensors (Basel, Switzerland)
|June 10, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances fog computing data storage by fixing security flaws in an ID-based anonymous key generation protocol. The improved scheme ensures secure data sharing with anonymity and user revocation in IoT environments.

Keywords:
ID-basedIoTdata storagefog computingproxy re-encryption

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Area of Science:

  • Computer Science
  • Information Security
  • Cloud Computing

Background:

  • Fog computing reduces latency in IoT by using fog nodes as proxies between users and cloud servers.
  • Existing ID-based data storage schemes in fog computing with anonymous key generation have security flaws.
  • Secure data sharing requires that proxies do not learn plaintext information during re-encryption.

Purpose of the Study:

  • To address security vulnerabilities in a previously proposed ID-based data storage scheme for fog computing.
  • To present an improved variant that maintains anonymous key generation and user revocation.
  • To provide a provably secure construction against chosen-plaintext attacks.

Main Methods:

  • Analysis of security flaws in an existing ID-based fog computing data storage protocol.
  • Development of an enhanced protocol incorporating anonymous key generation and user revocation.
  • Security proof under the Decisional Bilinear Diffie-Hellman (DBDH) assumption using IND-PrID-CPA security notion.

Main Results:

  • Identified and rectified security weaknesses in the prior fog computing data storage scheme.
  • Successfully integrated anonymous key generation and user revocation functionalities.
  • Demonstrated the enhanced scheme's provable security under standard cryptographic assumptions.

Conclusions:

  • The improved fog computing data storage scheme offers enhanced security and functionality.
  • The construction provides a secure and efficient solution for data sharing in fog-enabled IoT environments.
  • The work contributes to the advancement of secure data management in distributed computing architectures.