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Blockchain-Based Access Control and Behavior Regulation System for IoT.

Haoxiang Song1,2, Zhe Tu1,2, Yajuan Qin1,2

  • 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.

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|November 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a blockchain-based system for secure Internet of Things (IoT) access control and behavior regulation. It enhances security against network attacks and ensures trusted, fine-grained access for massive IoT devices.

Keywords:
Internet of thingsaccess controlblockchainlocator/ID separation protocolsmart contract

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • The proliferation of 5G and the Internet of Things (IoT) presents significant data security and privacy challenges due to massive multi-domain device access.
  • Existing access systems often lack the capability for real-time threat detection and dynamic defense mechanisms against evolving security threats.

Purpose of the Study:

  • To propose a novel blockchain-based system for robust access control and behavior regulation in Internet of Things (IoT) environments.
  • To address the critical need for enhanced security, privacy, and dynamic defense capabilities in large-scale IoT networks.

Main Methods:

  • Implementation of an attribute-based access control model using smart contracts deployed on a blockchain for distributed and fine-grained control.
  • Design of an inter-domain communication mechanism leveraging the locator/identifier separation protocol to ensure authorized user traffic.
  • Development of a feedback module integrating traffic detection and credit evaluation for real-time threat identification and proactive response to malicious activities.

Main Results:

  • The proposed system effectively achieves distributed and fine-grained access control, ensuring trusted identities and authorities for IoT users.
  • The inter-domain communication mechanism successfully validates traffic, enhancing security across different network domains.
  • The integrated feedback module enables rapid detection and response to malicious behaviors, bolstering overall system resilience.

Conclusions:

  • The developed blockchain-based system provides a comprehensive security model for IoT scenarios, effectively mitigating data security and privacy risks.
  • The integration of smart contracts, locator/identifier separation, and a feedback module offers a robust solution for securing massive device access in the era of 5G and IoT.