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Improved Handover Authentication in Fifth-Generation Communication Networks Using Fuzzy Evolutionary Optimisation

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This study introduces a fuzzy evolutionary model for enhanced authentication and handover in 5G healthcare networks. The model effectively mitigates cyberattacks, improving security for mobile health applications.

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Area of Science:

  • Telecommunications Engineering
  • Network Security
  • Artificial Intelligence in Healthcare

Background:

  • Fifth-generation (5G) telecommunication networks face significant security challenges, particularly in sensitive healthcare applications.
  • Authentication and handover mechanisms are critical for mitigating network attacks in health-related services.
  • Existing security models may struggle with the complexity and delay inherent in 5G network authentication.

Purpose of the Study:

  • To develop and evaluate a novel fuzzy evolutionary model for optimizing handover and key management in nanocore technology-based 5G networks.
  • To enhance the performance and reduce the complexity of authentication processes within 5G healthcare environments.
  • To effectively mitigate various network attacks targeting mobile health applications.

Main Methods:

  • Modeling a fuzzy evolutionary approach for handover and key management.
  • Training the evolutionary model with relevant attack datasets for attack mitigation.
  • Validating the model's efficacy through simulation in 5G network environments.
  • Focusing on nanocore technology for improved network performance.

Main Results:

  • The proposed fuzzy evolutionary model demonstrated significant improvements in authentication performance.
  • The model effectively minimized delays and complexity during network authentication.
  • Simulation results confirmed the model's capability in mitigating diverse cyberattacks.
  • Enhanced handling and authentication were observed in mobile health applications.

Conclusions:

  • The developed fuzzy evolutionary model offers a robust solution for securing 5G healthcare networks.
  • This approach enhances network security and reliability for critical mobile health services.
  • The model provides effective mitigation against cyber threats, ensuring data integrity and patient safety.