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Hierarchical Multipath Blockchain Based IoT Information Management Techniques for Efficient Distributed Processing of

Yoon-Su Jeong¹, Sung-Ho Sim²

¹Department of Information Communication Engineering, Mokwon University, Daejeon-si 35349, Korea.

Sensors (Basel, Switzerland)

|April 3, 2021

Summary

This study introduces a blockchain-based method to ensure the integrity of Internet of Things (IoT) data in distributed clouds, enhancing security against cyber threats. The technique improves processing time and accuracy while reducing overhead for IoT systems and Cyber-Physical Systems (CPS).

Keywords:

IoT blockchain distributed cloud integrity probability security

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Area of Science:

Computer Science
Cybersecurity
Distributed Systems

Background:

The proliferation of Internet of Things (IoT) devices across various sectors increases vulnerability to cyber attacks in distributed cloud environments.
Existing integrity verification techniques struggle to effectively identify threats and attacks on IoT data within these complex systems.
Ensuring the security and integrity of IoT data is crucial for the reliable operation of IoT systems and Cyber-Physical Systems (CPS).

Purpose of the Study:

To propose a novel blockchain-based integrity verification technique for large-scale IoT data in distributed cloud environments.
To enhance the security of IoT systems and CPS against integrity threats and cyber attacks.
To provide a decentralized and trustworthy method for verifying IoT data integrity without relying on third-party organizations.

Main Methods:

A blockchain-based technique linking IoT device information within subgroups to non-adjacent devices and the blockchain.
Utilizing the connection of pre- and subsequent IoT information blocks in the blockchain for synchronization across distributed cloud subgroups.
Employing probabilistic similarity information between IoT data blocks for flexible adaptation to distributed cloud subgroups.

Main Results:

Achieved an average improvement of 12.3% in integrity processing time compared to existing methods.
Demonstrated an average reduction of 8.8% in overhead by hashing IoT information with probability-linked data.
Showcased an average improvement of 14.3% in blockchain-based integrity verification accuracy.

Conclusions:

The proposed blockchain-based technique effectively guarantees the integrity of large-capacity IoT information in distributed cloud environments.
The method offers enhanced security, improved processing efficiency, and reduced overhead for IoT systems and CPS.
This approach provides a robust and accurate solution for verifying IoT data integrity against sophisticated cyber threats.