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Identity-Based Encryption with Filtered Equality Test for Smart City Applications.

Yang Ming1, Erxiu Wang2

  • 1School of Information Engineering, Chang'an University, Xi'an 710064, China. yangming@chd.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a new secure data sharing method for smart healthcare systems, enhancing data security and service timeliness in intelligent medical environments.

Keywords:
filtered equality testidentity-based encryptionrandom oracle modelsmart healthcare

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Area of Science:

  • Computer Science
  • Information Security
  • Healthcare Technology

Background:

  • Smart cities are rapidly developing, with smart healthcare being a crucial component.
  • Intelligent medical systems face challenges in data security and timely service delivery.
  • Existing cryptographic methods need enhancement for secure data management in smart healthcare.

Purpose of the Study:

  • To propose a novel Identity-Based Encryption with Filtered Equality Test (IBE-FET) scheme for smart healthcare.
  • To address the security and timeliness issues in intelligent medical systems.
  • To enable secure and efficient data sharing in cloud-based healthcare environments.

Main Methods:

  • Developed an IBE-FET scheme combining public key encryption with filtered equality test and identity-based cryptography.
  • Implemented a warrant generation mechanism for data receivers using private keys and message sets.
  • Enabled cloud servers to verify ciphertext equality without decryption and check message set membership.

Main Results:

  • The proposed IBE-FET scheme provides one-way security against chosen identity and ciphertext attacks.
  • Security is proven in the random oracle model under the computational bilinear Diffie-Hellman assumption.
  • Performance analysis indicates the scheme is feasible and practical for real-world smart healthcare applications.

Conclusions:

  • The IBE-FET scheme offers a robust solution for secure data management in smart healthcare.
  • The proposed method enhances data privacy and ensures efficient service delivery.
  • This contributes to the secure development of smart cities and intelligent medical systems.