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Blockchain Data Secure Transmission Method Based on Homomorphic Encryption.

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This study introduces a secure blockchain data transfer method using homomorphic encryption for internet monitoring. The novel approach ensures high transmission accuracy and data integrity, enhancing system security.

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Area of Science:

  • Computer Science
  • Cryptography
  • Network Security

Background:

  • Internet environment monitoring systems require secure data transmission and recording.
  • Existing methods may be vulnerable to data tampering and distortion.
  • Blockchain technology offers decentralized data management but needs secure transfer mechanisms.

Purpose of the Study:

  • To propose and evaluate a secure blockchain data transfer method for internet environment monitoring.
  • To leverage homomorphic encryption for enhanced data security and integrity.
  • To improve the reliability and efficiency of data transmission in monitoring systems.

Main Methods:

  • Implementing homomorphic encryption for blockchain data transmission.
  • Utilizing asymmetric encrypted public keys collected by Internet of Things (IoT) devices.
  • Designing a secure transmission method integrating blockchain and homomorphic encryption.

Main Results:

  • Achieved a consistent transmission accuracy of 88% across multiple experiments.
  • Demonstrated a stable data transmission effect.
  • The proposed method proved more reliable and less prone to data distortion than existing approaches.

Conclusions:

  • The developed method offers high transmission accuracy and short transmission times.
  • Effectively mitigates data tampering risks associated with prolonged transmission.
  • Provides a secure and reliable solution for blockchain data transfer in internet monitoring.