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Blockchain Processing Technique Based on Multiple Hash Chains for Minimizing Integrity Errors of IoT Data in Cloud

Yoon-Su Jeong¹

¹Department of Information and Communication Convergence Engineering, Daejeon-si 35349, Korea.

Sensors (Basel, Switzerland)

|July 24, 2021

Summary

This summary is machine-generated.

This study introduces an optimized hash processing technique using blockchain for Internet of Things (IoT) data. The method enhances data integrity and processing efficiency in distributed cloud environments.

Keywords:

IoT data error process data integrity hash chain load balance

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Area of Science:

Computer Science
Data Science
Cybersecurity

Background:

Internet of Things (IoT) devices generate vast amounts of data across diverse sectors, necessitating secure and reliable data handling.
Current cloud-based data storage for IoT is vulnerable to integrity issues from errors, security attacks, and environmental factors.
Direct cloud storage limits control and data integrity assurance for distributed IoT deployments.

Purpose of the Study:

To propose an optimized hash processing technique for hierarchical distributed processing of IoT data.
To enhance the integrity and reliability of IoT data stored in distributed cloud environments.
To improve the efficiency and load balancing of IoT data management using blockchain technology.

Main Methods:

Developed an n-bit blockchain-based optimized hash processing technique for hierarchical distributed data processing.
Implemented interactive authentication between n, n+1, and n-1 blockchain layers to validate IoT data.
Validated hash values of IoT data and their index information stored across distributed locations within the blockchain.

Main Results:

Reduced IoT data processing time by an average of 2.54 times.
Improved blockchain generation time by 17.3% during IoT data linking.
Enhanced asymmetric storage efficiency (6.9%) and speed (10.3%) based on hash code length.
Increased IoT data integrity accuracy by an average of 18.3% compared to existing methods.

Conclusions:

The proposed technique effectively minimizes IoT data integrity errors in distributed cloud environments.
Blockchain-enabled hierarchical processing and interactive authentication strengthen data reliability and security.
The method optimizes load balancing and ensures efficient linkage of IoT data, improving overall system performance.