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Graduate Center of the City University of New York
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2021 19th OITS International Conference on Information Technology (OCIT), 2021
Smart Computing Techniques and Applications, 2021
Cloud computing offers various types of resources to its users. In recent years with the developm... more Cloud computing offers various types of resources to its users. In recent years with the development of Cloud Computing, there has been an increase in the use of storage service from the cloud service providing organizations. However, there are still active issues regarding security, privacy, interoperability and reliability, which needs to be solved fast. Among these issues the issue regarding the security of cloud storage and how the same can be provided easily. This paper has helped in the study and proposal of a simple and secure as well as privacy-preserving design and architecture to cloud data sharing. The architecture has been based on the process of encryption and decryption algorithms for the protection of data stored in the cloud servers from unauthorized and illegal access.
Cognitive Informatics and Soft Computing, 2021
Biosensor analytics is a crucial tool for monitoring health conditions for patients and individua... more Biosensor analytics is a crucial tool for monitoring health conditions for patients and individuals with availability of wearable sensors and other devices. Biosensor studies can depict the detection of stress with precision. However, in this study, a review of feasible machine learning algorithms is reviewed with their comparative analysis as per healthcare data analytics. To design and implement a biosensor, suitable machine learning algorithm should be selected in order to detect anxiety and stress levels. Using machine learning algorithms, the analysis can be fault-tolerant and stress detection could be effective in terms of convenience.
Lecture Notes in Electrical Engineering, 2020
Exponential growth and enormous development have made faster and seamless communication possible ... more Exponential growth and enormous development have made faster and seamless communication possible in the field of information and communication technology between several devices amongst each other. New technological innovations brought up new opportunities over several disciplines such as individual well-being and customized healthcare services. Internet-of-Healthcare Things (IoHT) improved consistently and developed in a steady manner. However, according to unstructured and critical healthcare data nature, higher Quality of Service (QoS) is considered a major challenge over designing such systems for providing faster responses and data-specific complicated analytics services. Considering the mentioned issues, this particular paper aims to provide agenda of a five-layered heterogeneous model with IoHT framework based on cloud, fog, and mist along with the capability of routing offline/batch mode data and efficiently handling either instantaneously or real-time.
2021 19th OITS International Conference on Information Technology (OCIT), 2021
Smart Computing Techniques and Applications, 2021
Cloud computing offers various types of resources to its users. In recent years with the developm... more Cloud computing offers various types of resources to its users. In recent years with the development of Cloud Computing, there has been an increase in the use of storage service from the cloud service providing organizations. However, there are still active issues regarding security, privacy, interoperability and reliability, which needs to be solved fast. Among these issues the issue regarding the security of cloud storage and how the same can be provided easily. This paper has helped in the study and proposal of a simple and secure as well as privacy-preserving design and architecture to cloud data sharing. The architecture has been based on the process of encryption and decryption algorithms for the protection of data stored in the cloud servers from unauthorized and illegal access.
Cognitive Informatics and Soft Computing, 2021
Biosensor analytics is a crucial tool for monitoring health conditions for patients and individua... more Biosensor analytics is a crucial tool for monitoring health conditions for patients and individuals with availability of wearable sensors and other devices. Biosensor studies can depict the detection of stress with precision. However, in this study, a review of feasible machine learning algorithms is reviewed with their comparative analysis as per healthcare data analytics. To design and implement a biosensor, suitable machine learning algorithm should be selected in order to detect anxiety and stress levels. Using machine learning algorithms, the analysis can be fault-tolerant and stress detection could be effective in terms of convenience.
Lecture Notes in Electrical Engineering, 2020
Exponential growth and enormous development have made faster and seamless communication possible ... more Exponential growth and enormous development have made faster and seamless communication possible in the field of information and communication technology between several devices amongst each other. New technological innovations brought up new opportunities over several disciplines such as individual well-being and customized healthcare services. Internet-of-Healthcare Things (IoHT) improved consistently and developed in a steady manner. However, according to unstructured and critical healthcare data nature, higher Quality of Service (QoS) is considered a major challenge over designing such systems for providing faster responses and data-specific complicated analytics services. Considering the mentioned issues, this particular paper aims to provide agenda of a five-layered heterogeneous model with IoHT framework based on cloud, fog, and mist along with the capability of routing offline/batch mode data and efficiently handling either instantaneously or real-time.