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BACKGROUND Healthcare monitoring systems have emerged as one of the most vital systems and from the past decade have become technology-oriented. People face an unnecessary mortality crisis due to various diseases owing to lack of medical care for patients at the perfect time. Our goal is to develop the application for cloud based Health Care system. OBJECTIVE Cyber-attacks are the primary challenge for cloud-based control of health care. In that big serious issue in the field of health care monitoring are denial of services, problems with node failure, traffic jams between nodes and malicious attacks. METHODS In order to cope up with above challenges this work has proposed a secure structure for cloud based human health monitoring system. Initially, a novel Multidimensional Authentication design method which therefore provides the data with a secure authentication and can be prevented from intruding an unauthorized person. RESULTS Then provide an effective single new Steadiness Pawn Detection and Cybernetic Security Framework for safe and secure patient health monitoring. As a consequence, Concealment Drip Detection is suggested to improve the scalability in fog computing, which prevents intruders from information in the fog. CONCLUSIONS Therefore, by using all the above techniques in a single framework the major data risks in healthcare systems are prevented and the cloud-based health monitoring system requires more efficient monitoring of the patient's health status, thereby preserving human life on time. CLINICALTRIAL Background: Healthcare monitoring systems have emerged as one of the most vital systems and from the past decade have become technology-oriented. People face an unnecessary mortality crisis due to various diseases owing to lack of medical care for patients at the perfect time. Our goal is to develop the application for cloud based Health Care system. Objective: Cyber-attacks are the primary challenge for cloud-based control of health care. In that big serious issue in the field of health care monitoring are denial of services, problems with node failure, traffic jams between nodes and malicious attacks. Methods: In order to cope up with above challenges this work has proposed a secure structure for cloud based human health monitoring system. Initially, a novel Multidimensional Authentication design method which therefore provides the data with a secure authentication and can be prevented from intruding an unauthorized person. Results: Then provide an effective single new Steadiness Pawn Detection and Cybernetic Security Framework for safe and secure patient health monitoring. As a consequence, Concealment Drip Detection is suggested to improve the scalability in fog computing, which prevents intruders from information in the fog. Therefore, by using all the above techniques in a single framework the major data risks in healthcare systems are prevented and the cloud-based health monitoring system requires more efficient monitoring of the patient's health status, thereby preserving human life on time. |
