Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2810 2019 2019 Department of CSE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, A.P, India S. S. Department of School of Technology, Eastern Illinois University, Charleston, Illinois, USA Chandra Shikhi Kodete Department of Information Technology, SRKR Engineering College, Bhimavaram, A.P, India Saibaba velidi Department of CSE (IOT&CSBT), PACE Institute of Technology and Sciences, Valluru, Prakasam D.T, Andhrapradesh, India Srikanth Bhyrapuneni Computer Science and Engineering, Vignan's Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur District, A.P, India Suresh Babu Satukumati Department of Computer Science and Engineering, Sir C R Reddy College of Engineering, Eluru, A.P, India. Vahiduddin Shariff Medical care conveyance has been transformed by the Internet of Things (IoT's) combination into wellbeing systems, which provides doctors and patients with continuous on-request services. However, this coordination poses questions with respect to the precision of the information and possible security risks. This research expects to present a sharp character the executives structure planned for IoT and distributed computing based personalized medical care frameworks. The purpose is to upgrade confirmation processes while restricting security threats through the double-dealing of multimodal encoded biometric features. The suggested approach incorporates biometric-based continuous authentication together with combined and concentrated personality access strategies. To safeguard patient information in the cloud, it combines electrocardiogram (ECG) and photoplethysmogram (PPG) signals for authentication, which is further bolstered by homomorphic encryption (HE). An AI (ML) model was used to assess the system's reasonability including a dataset of 20 clients in various seating configurations. The merged based biometric structure defeated standalone ECG or PPG signal-based procedures in perceiving and authenticating every client with 100% exactness. The proposed framework makes significant improvements to the privacy and security of personalized healthcare frameworks. It fulfills the essential security necessities and is by the by viable enough to run on low-end processors. It guarantees trustworthy authentication and protects against conventional security threats by utilizing multimodal biometric features and cutting-edge encryption techniques. 2024 2024 31 45 10.54216/JISIoT.130103 https://www.americaspg.com/articleinfo/18/show/2810