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Related Experiment Video

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Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems.

Erana Veerappa Dinesh Subramaniam1, Kathiravan Srinivasan2, Saeed Mian Qaisar3,4

  • 1Department of Computer Science and Business Systems, Ramco Institute of Technology, Rajapalayam 626117, India.

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Summary
This summary is machine-generated.

This study introduces a privacy-enhanced Internet of Medical Things (IoMT) approach for remote illness diagnosis. It optimizes network performance and ensures data security, significantly improving patient care and diagnostic capabilities.

Keywords:
Internet of Medical Things (IoMT)authenticationclusteringencryptionpatient privacyroutingsecurity

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Area of Science:

  • Healthcare Technology
  • Network Engineering
  • Cybersecurity

Background:

  • The Internet of Medical Things (IoMT) enables remote patient monitoring but faces privacy challenges with traditional AI.
  • Optimizing IoMT network performance is crucial for reliable remote diagnosis and treatment.

Purpose of the Study:

  • To develop a privacy-enhanced, interoperable IoMT framework for illness diagnosis.
  • To improve key IoT network performance metrics including throughput, energy consumption, latency, and network longevity.

Main Methods:

  • Implemented device authentication, energy-efficient clustering, and environmental monitoring (C-HMM).
  • Utilized data verification (TCEV) and encryption (Twine-LiteNet) for data confidentiality.
  • Employed Search and Rescue Optimization (SRO) for route selection and secure cloud storage.

Main Results:

  • Achieved a 20% increase in throughput and a 35% improvement in network lifetime.
  • Reduced packet drop rate (PDR) by 15% and energy consumption/delay by 10%.
  • Demonstrated substantial enhancements in network interoperability and data protection via ns-3 simulations.

Conclusions:

  • The proposed privacy-enhanced IoMT approach significantly improves network performance and security.
  • This framework enhances interoperability, fostering better patient care and diagnostic capabilities.
  • The study validates the effectiveness of integrated security and optimization techniques in IoMT.