Prabakaran, P. and Choudhary, Mukesh and Kumar, Kaushal and Loganathan, Ganesh Babu and Salih, Idris Hadi and Kumari, Khushboo and Karthick, L. (2024) Integrating Mechanical Systems With Biological Inspiration: Implementing Sensory Gating in Artificial Vision. In: Trends and Applications in Mechanical Engineering, Composite Materials and Smart Manufacturing. IGI Global Scientific Publishing, pp. 193-206.
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P. Prabakaran Vels Institute of Science Technology and Advanced Studies, Chennai, India Mukesh Choudhary Parul University, India https://orcid.org/0009-0001-4536-0961 Kaushal Kumar Lalit Narayan Mithila University, India https://orcid.org/0000-0002-3341-9911 Ganesh Babu Loganathan Rajalakshmi Engineering College, India Idris Hadi Salih Tishk International University, Iraq Khushboo Kumari Mahatma Gandhi Central University, India https://orcid.org/0009-0002-1494-0303 L. Karthick Department of Mechanical Engineering, Hindusthan College of Engineering and Technology, Coimbatore, India https://orcid.org/0000-0002-1403-8179 Integrating Mechanical Systems With Biological Inspiration Implementing Sensory Gating in Artificial Vision
The healthcare system, viewed as an organization, demands robust security and privacy measures. These encompass safeguarding patient medical data, ensuring prescription drug safety, establishing secure connections with vehicles like ambulances, and deploying intelligent e-health monitoring systems. Blockchain technology has emerged as an innovative solution to enhance the security and integrity of medical data. It offers a potential resolution to the dilemma of balancing anonymity and secure data exchange. The study introduces a privacy-centric approach for blockchain and internet of things (IoT) integration, leveraging the advantages of cloud computing alongside blockchain. This approach not only integrates IoT functionalities and provides solutions for blockchain nodes but also manages identity authentication for health data. It addresses the computational limitations of certain blockchain routers, ensuring the validity of information. Through simulation experiments, the proposed technique demonstrates its effectiveness in tackling challenges such as complex computation, data exchange, and privacy preservation, while upholding the quality of medical data.
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Item Type: | Book Section |
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Subjects: | Mechanical Engineering > Machine Design |
Domains: | Mechanical Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 23 Aug 2025 07:34 |
Last Modified: | 23 Aug 2025 07:34 |
URI: | https://ir.vistas.ac.in/id/eprint/10537 |