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A Secure and Efficient Signature Scheme for IoT in healthcare

Computers, Materials & Continua 2022年第12期73卷 6151-6168页

作者： Latika Kakkar Deepali Gupta Sarvesh Tanwar Sapna Saxena Khalid Alsubhi Divya Anand Irene Delgado Noya Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India AIIT Amity UniversityNoida201313India Chitkara School of Engineering&Technology Chitkara UniversityHP174103India Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah37848Saudi Arabia Lovely Professional University JalandharPunjab144411India Universidad Europea Del Atlántico C/Isabel Torres 2139011SantanderSpain Universidad Internacional Iberoamericana CampecheC.P.24560Mexico

To provide faster access to the treatment of patients,healthcare system can be integrated with Internet of Things to provide prior and timely health services to the *** is a huge limitation in the sensing layer as the IoT devices here have low computational power,limited storage and less battery ***,this huge amount of data needs to be stored on the *** information and the data sensed by these devices is made accessible on the internet from where medical staff,doctors,relatives and family members can access this *** helps in improving the treatment as well as getting faster medical assistance,tracking of routine activities and health focus of elderly people on frequent ***,the data transmission from IoT devices to the cloud faces many security challenges and is vulnerable to different security and privacy threats during the transmission *** purpose of this research is to design a Certificateless Secured Signature Scheme that will provide a magnificent amount of security during the transmission of *** signature,that removes the intricate certificate management and key escrow problem,is one of the practical methods to provide data integrity and identity authentication for the *** result shows that the proposed scheme performs better than the existing certificateless signature schemes in terms of computational cost,encryption and decryption *** scheme is the best combination of high security and cost efficiency and is further suitable for the resource constrained IoT environment.

关键词： CSSS digital signature ECC IoT security signcryption smart healthcare system

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IoMT-Based healthcare Framework for Ambient Assisted Living Using a Convolutional Neural Network

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Computers, Materials & Continua 2023年第3期74卷 6867-6878页

作者： Waleed T.Al-Sit Nidal A.Al-Dmour Taher M.Ghazal Ghassan F.Issa Department of Computer Engineering Mutah UniversityAl-KarakJordanHigher Colleges of TechnologyDubaiUAE Department of Computer Engineering College of EngineeringMutah UniversityJordan School of Information Technology Skyline University CollegeUniversity City SharjahSharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUKM43600BangiSelangorMalaysia

In the age of universal computing,human life is becoming smarter owing to the recent developments in the Internet of Medical Things(IoMT),wearable sensors,and telecommunication innovations,which provide more effective and smarter healthcare *** has the potential to shape the future of clinical research in the healthcare *** sensors,patients,healthcare providers,and caregivers can connect through an IoMT network using software,information,and communication *** assisted living(AAL)allows the incorporation of emerging innovations into the routine life events of *** learning(ML)teaches machines to learn from human experiences and to use computer algorithms to“learn”information directly instead of relying on a *** the sample size accessible for learning increases,the performance of the algorithms *** paper proposes a novel IoMT-enabled smart healthcare framework for AAL to monitor the physical actions of patients using a convolutional neural network(CNN)algorithm for fast analysis,improved decision-making,and enhanced treatment *** simulation results showed that the prediction accuracy of the proposed framework is higher than those of previously published approaches.

关键词： smart healthcare system neural network machine learning

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Convergence Platform of Cloud Computing and Internet of Things (IoT) for smart healthcare Application

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Journal of Computer and Communications 2020年第8期8卷 1-11页

作者： M. Mamun-Ibn-Abdullah M. Shahinuzzaman S. M. Abdur Rahim M. Humayun Kabir Department of Electrical and Electronic Engineering Islamic University Kushtia Bangladesh

Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.

关键词： Cloud Computing Embedded Hardware and Software IoT smart healthcare system

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