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Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G

Abdul Razaque1, Joon Yoo1, Gulnara Bektemyssova2

  • 1School of Computing, Gachon University, Seongnam 13120, Republic of Korea.

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|December 23, 2023
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Summary
This summary is machine-generated.

Slow internet hinders IoT security response. A new Virtual Network Function Software-Defined Networking (VNFSDN) approach enhances real-time threat detection and mitigation for IoT devices, improving network resilience.

Keywords:
6G technologyIoTblockchain technologyconsensus blockchain technologycyberattackedge computingsoftware-defined networkingvirtual network function

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Area of Science:

  • Cybersecurity and Network Engineering
  • Internet of Things (IoT) Security
  • Software-Defined Networking (SDN)

Background:

  • Low-speed internet significantly degrades incident response capabilities, leading to delayed detection, ineffective actions, and increased risks for IoT-enabled communications.
  • Existing security measures struggle to cope with the dynamic and data-intensive nature of IoT environments, necessitating advanced solutions.

Purpose of the Study:

  • To propose and evaluate a novel Virtual Network Function Software-Defined Networking (VNFSDN) approach for enhancing IoT network security and efficiency.
  • To address the challenges posed by slow internet speeds and evolving cyber threats in IoT ecosystems.

Main Methods:

  • Integration of Virtual Network Function (VNF) and Software-Defined Networking (SDN) to create a dynamic VNFSDN framework.
  • Implementation of threat filtration, threat-capturing, and decision-driven algorithms for real-time risk minimization.
  • Incorporation of a prioritized delegated proof of stake (PDPoS) consensus variant to enhance blockchain scalability and security for IoT.

Main Results:

  • The proposed VNFSDN achieved a minimum response time of 0.08 ms and a packet loss rate of 2%.
  • Network availability reached 99.5%, with a threat detection rate of 99.36% and detection accuracy of 99.77% even with 1% malicious nodes.
  • The system demonstrated dynamic adaptability to changing security requirements and network conditions, safeguarding IoT device integrity against manipulation, insertion, and deletion.

Conclusions:

  • The VNFSDN approach significantly improves network performance, resilience, and proactive threat detection for IoT devices.
  • The integration of PDPoS addresses blockchain scalability issues, providing a secure and adaptable environment for IoT.
  • This study presents a state-of-the-art solution for mitigating cyber risks and enhancing the overall security posture of IoT communications.