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<p>This paper proposes a technique to enhance the security and reliability of Internet of Things (IoT) systems by applying a five-dimensional (5D) memristive hyperchaotic system combined with the Quantum Neural Network (QNN). IoT systems, especially in healthcare, have increasing difficulties in protecting confidential data from advanced cyber threats while necessitating rapid and accurate analysis of extensive and diverse information. Traditional security and computing solutions can prove inadequate due to constraints in computational capacity, scalability, and resilience against adversarial attacks. The suggested 5D hyperchaotic system significantly boosts data security employing advanced dynamic encryption techniques, substantially improving the privacy and integrity of healthcare data in IoT networks. The QNN architecture integrates quantum computing concepts to establish an efficient computational model that enhances data processing, resulting in improved accuracy, dependability, and resilience in health monitoring systems, especially in resource-limited settings. This approach offers key contributions: (1) Significant enhancements in security via complex adaptive encryption (2) Improved data processing speed and accuracy facilitated by quantum computation (3) Superior energy efficiency, ideal for resource-constrained IoT devices (4) Increased resilience against adversarial attacks and unauthorized manipulations, and (5) Easy integration with existing IoT architectures. This flexible and comprehensive framework effectively addresses the essential issues of security, efficiency, and resilience, providing a solution that enhances the trustworthiness of IoT systems for secure healthcare delivery, thus facilitating their wider adoption in secured healthcare applications.</p>

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Quantum neural computing enhanced five-dimensional hyperchaotic framework for secured and reliable communication on the Internet of Things systems

  • 期刊论文

  • 发表日期：

    2025年8月19日

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  • Mu Chen,
  • Sarbajit Manna,
  • Arindam Sarkar,
  • Abdulfattah Noorwali,
  • Kamal M. Othman

摘要

This paper proposes a technique to enhance the security and reliability of Internet of Things (IoT) systems by applying a five-dimensional (5D) memristive hyperchaotic system combined with the Quantum Neural Network (QNN). IoT systems, especially in healthcare, have increasing difficulties in protecting confidential data from advanced cyber threats while necessitating rapid and accurate analysis of extensive and diverse information. Traditional security and computing solutions can prove inadequate due to constraints in computational capacity, scalability, and resilience against adversarial attacks. The suggested 5D hyperchaotic system significantly boosts data security employing advanced dynamic encryption techniques, substantially improving the privacy and integrity of healthcare data in IoT networks. The QNN architecture integrates quantum computing concepts to establish an efficient computational model that enhances data processing, resulting in improved accuracy, dependability, and resilience in health monitoring systems, especially in resource-limited settings. This approach offers key contributions: (1) Significant enhancements in security via complex adaptive encryption (2) Improved data processing speed and accuracy facilitated by quantum computation (3) Superior energy efficiency, ideal for resource-constrained IoT devices (4) Increased resilience against adversarial attacks and unauthorized manipulations, and (5) Easy integration with existing IoT architectures. This flexible and comprehensive framework effectively addresses the essential issues of security, efficiency, and resilience, providing a solution that enhances the trustworthiness of IoT systems for secure healthcare delivery, thus facilitating their wider adoption in secured healthcare applications.