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Blockchain 6G-Based Wireless Network Security Management with Optimization Using Machine Learning Techniques.

Ponnusamy Chinnasamy1, G Charles Babu2, Ramesh Kumar Ayyasamy3

  • 1Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Srivilliputtur 626126, Tamil Nadu, India.

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Summary
This summary is machine-generated.

This study introduces a novel blockchain 6G security management system for wireless sensor networks (WSNs). It enhances network performance and security against denial-of-service (DoS) attacks using machine learning optimization.

Keywords:
6G networksblockchainmachine learningsecurity managementwireless network

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Area of Science:

  • Telecommunications Engineering
  • Computer Science
  • Network Security

Background:

  • 5G networks face limitations, driving the need for advanced 6G mobile technology.
  • Wireless Sensor Networks (WSNs) require robust security, particularly against Denial of Service (DoS) attacks.
  • Existing security measures are insufficient for the ambitious performance goals of future networks.

Purpose of the Study:

  • To propose a novel security management and optimization method for 6G wireless sensor networks.
  • To address privacy and security challenges inherent in 6G technology.
  • To enhance the resilience of WSNs against sophisticated cyber threats.

Main Methods:

  • Implementation of a blockchain-based security management system for 6G WSNs.
  • Utilizing a machine learning model with reinforcement projection regression for security.
  • Employing artificial democratic cuckoo glowworm remora optimization for network optimization.
  • Evaluating performance based on throughput, energy efficiency, packet delivery ratio, end-end delay, and accuracy.

Main Results:

  • Achieved 97% throughput and 95% energy efficiency.
  • Reached 96% accuracy and 94% packet delivery ratio.
  • Reduced end-to-end delay by 50%.

Conclusions:

  • The proposed blockchain 6G security management system effectively enhances WSN performance and security.
  • The novel optimization technique minimizes network traffic by selecting optimal nodes and data transmission paths.
  • This research provides a secure and efficient framework for future 6G wireless networks.