3 research outputs found
Profile Management System in Ubiquitous Healthcare Cloud Computing Environment
A shift from the doctor-centric model to a patient-centric model is required to face the challenges of the healthcare sector. The vision of patient-centric model can be materialized integrating ubiquitous healthcare and the notion of personalization in services. Cloud computing can be the underlying technology for ubiquitous healthcare. The use of profiles enables the personalization in healthcare services and the use of profile management systems facilitates the deployment of these services. In this paper, we propose a profile management system in ubiquitous healthcare cloud computing environment. The proposed system exploits the cloud computing technology and the smart card technology to increase the efficiency and the quality of the provided healthcare services in the context of the patient-centric model. Furthermore, we propose generic healthcare profile structures corresponding to the main classes of the participating entities in a ubiquitous healthcare cloud computing environment
Recommended from our members
Prototyping an anomaly-based intrusion detection system for Internet of Medical Things Networks
Over the past few years, the Internet of Things (IoT) is transforming the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology, whose purpose is the improvement of the patient's quality of life. Nevertheless, IoMT networks are still vulnerable to a wide range of threats because of their heterogeneity and resource-constrained characteristics. Thus, novel security mechanisms, such as accurate and efficient anomaly-based intrusion detection systems (AIDSs), taking into consideration the inherent limitations of the IoMT networks, are required to be developed before IoMT networks reach their full potential in the market. In our previous work, we presented the system architecture for a novel hybrid AIDS for IoMT networks. In this paper, we expand it by presenting details of the implementation process that led to a prototype of the proposed AIDS. Our target is this work to serve as a guidance for other researchers or engineers to develop their own specific implementations of AIDSs for IoMT networks
Recommended from our members
A scalable approach of practical Byzantine fault tolerance algorithms for IoMT blockchains
Blockchain-based solutions for Internet of Things (IoT) networks constitutes a current trend in cybersecurity and brings significant benefits into current centralized IoT-based health monitoring systems by addressing security challenges. Complex and power intense blockchain solutions do not perform satisfactory in the resource-constrained IoT, and especially Internet of Medical Things (IoMT), devices of these systems due to the latter's limited processing power, storage capacity, and battery life. Therefore, in this paper, we propose a scalable Practical Byzantine Fault Tolerance (PBFT) consensus algorithm for IoMT blockchains to: i) enhance scalability in IoMT blockchains, ii) reduce communication overhead, iii) enhance security while reducing the computational cost for suitability to the resource constraint nature of IoMT devices, iv) facilitate decentralized accountability, and v) eliminate single point of failure