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Deep Learning Based Homomorphic Secure Search-Able Encryption for Keyword Search in Blockchain Healthcare System: A

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This study introduces a secure, searchable blockchain system using deep learning and homomorphic encryption for patient health records (PHR). It enhances security, anonymity, and user monitoring in blockchain-based IoT systems.

Keywords:
access controlblockchaindeep learninghomomorphic encryptionprivacysecuritysmart contracts

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Area of Science:

  • Computer Science
  • Information Security
  • Healthcare Technology

Background:

  • Patient health records (PHR) require robust security for internet-based access.
  • Existing blockchain healthcare systems often have security flaws and focus solely on data storage.
  • Keyword searches for PHR access present significant security risks.

Purpose of the Study:

  • To develop a novel deep-learning-based secure searchable blockchain system for distributed databases.
  • To enhance secure data access for users through homomorphic encryption and smart contracts.
  • To improve security, anonymity, and user behavior monitoring in blockchain-based systems.

Main Methods:

  • Implemented a deep-learning-based secure searchable blockchain using homomorphic encryption.
  • Utilized smart contracts within the Hyperledger tool for algorithm implementation.
  • Evaluated access control strategies using an IoT dataset and compared them to benchmark models.

Main Results:

  • The proposed system significantly enhances security, anonymity, and user behavior monitoring.
  • Demonstrated improved efficiency in blockchain-based IoT systems compared to existing models.
  • Successfully enabled secure data access via search using homomorphic encryption.

Conclusions:

  • The developed system offers a more secure and efficient solution for accessing sensitive data in blockchain-based healthcare and IoT applications.
  • The integration of deep learning, homomorphic encryption, and blockchain provides a robust framework for data security and privacy.
  • Future work will focus on incorporating secure key revocation and update policies.