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The rapid integration of cognitive Internet of Things (CIoT) in healthcare has introduced new challenges in safeguarding sensitive medical imaging data. As medical images are transmitted across interconnected smart devices, ensuring their confidentiality, integrity, and accessibility becomes paramount. This research proposes a novel framework that leverages SCOSA (Secure Cognitive Offloading and Scheduling Algorithm) in conjunction with the lightweight Simon encryption algorithm for securing medical images within a CIoT environment. To further strengthen trust, traceability, and tamper resistance, the system integrates a Hyper Edge Blockchain structure tailored for edge-centric data management and decentralized control. The proposed model enhances security at multiple levels: SCOSA ensures optimal task scheduling and secure cognitive offloading in resource-constrained devices; Simon encryption provides low-latency, energy-efficient cryptographic protection for image data; and the Hyper Edge Blockchain facilitates immutable, distributed storage of transaction metadata across edge nodes. Experimental evaluations demonstrate the framework’s efficacy in achieving secure, scalable, and real-time protection of medical images with minimal computational overhead, making it suitable for deployment in modern smart healthcare systems. This work contributes a robust, lightweight, and blockchain-enabled solution for advancing data security in cognitive IoT-based medical imaging applications.

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Integrating Local Therapy in the Management of Oligometastatic Cancer and the Emerging Role of Artificial Intelligence

  • 章节

  • 发表日期：

    2026年

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  • Rohit V. Mantena,
  • Shivaek Venkateswaran,
  • Deena Gold,
  • Anthony Tudisco,
  • Tej A. Patel,
  • Abhinav Komanduri,
  • Asher Shin,
  • Tidie Song,
  • Yue Helen Zhang,
  • Jonas Willmann,
  • Edward Christopher Dee,
  • Puneeth Iyengar

摘要

The rapid integration of cognitive Internet of Things (CIoT) in healthcare has introduced new challenges in safeguarding sensitive medical imaging data. As medical images are transmitted across interconnected smart devices, ensuring their confidentiality, integrity, and accessibility becomes paramount. This research proposes a novel framework that leverages SCOSA (Secure Cognitive Offloading and Scheduling Algorithm) in conjunction with the lightweight Simon encryption algorithm for securing medical images within a CIoT environment. To further strengthen trust, traceability, and tamper resistance, the system integrates a Hyper Edge Blockchain structure tailored for edge-centric data management and decentralized control. The proposed model enhances security at multiple levels: SCOSA ensures optimal task scheduling and secure cognitive offloading in resource-constrained devices; Simon encryption provides low-latency, energy-efficient cryptographic protection for image data; and the Hyper Edge Blockchain facilitates immutable, distributed storage of transaction metadata across edge nodes. Experimental evaluations demonstrate the framework’s efficacy in achieving secure, scalable, and real-time protection of medical images with minimal computational overhead, making it suitable for deployment in modern smart healthcare systems. This work contributes a robust, lightweight, and blockchain-enabled solution for advancing data security in cognitive IoT-based medical imaging applications.