cloud computing in health care
A survey of mobile cloud computing: architecture, applications, and approaches
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WiFi based multihop networking system called MoNet and a distributed content sharing protocol for authenticate and encrypt the private content), a friend key (to secure channel between MCC's requirements arises (eg, always-on connectivity, on-demand scalability of wireless
Towards new data access control technique based on multi agent system architecture for cloud computing
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Disclosure and remote storage may have adverse consequences for the legal status of protections for personal or business Networks
Adaptive, secure, and scalable distributed data outsourcing: a vision paper
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considered. 4. CONCLUSION We presented an adaptive, secure, and scalable data out- sourcing framework for sharing and processing of massive, dynamic, and potentially sensitive data using distributed resources. It
A Home Healthcare System in the Cloud--Addressing Security and Privacy Challenges
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self-managed services supporting clouds' virtual resources availability, multi-tenancy, scalability, resilience, reliability gives patients (as data owners) more control on medical data sharing, meanwhile enabling [11] L. Ibraimi, M. Asim, and M. Petkovic, Secure management of
Privacy as a service: Privacy-aware data storage and processing in cloud computing architectures
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C. Due to the central role the RP daemon plays in the privacy service and to support a scalable security mechanism, it is recommended to execute multiple replicas of the same RP In [15] secure coprocessors are used to protect the privacy of data mining and sharing in Anti
A survey on security issues in service delivery models of cloud computing
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cloud offers several benefits like fast deployment, pay-for-use, lower costs, scalability, rapid provisioning A secure SaaS model must be capable of providing reliability to the customer on the Cloud computing involves the sharing or storage by users of their own information on
CloudSeal: End-to-End Content Protection in Cloud-based storage and delivery services
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SPoC: Protecting Patient Privacy for e-Health Services in the Cloud
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Finally, the EWS service instance establishes secure ses- sions with the CRUD services and Ontology database is implemented using SQL Server 2008, and the information sharing policy syntax The stability and scalability of the system and selected e-Health services will be
Sensorsafe: a framework for privacy-preserving management of personal sensory information
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Therefore, in order to increase scalability and computational efficiency, it is essential for a remote data In order to secure the API key during communications, it is included in the body of PG, Cranor, L., Hong, J., Sadeh, N.: Locaccino: a privacy-centric location sharing application.
Opportunities and Challenges of Cloud Computing to Improve Health Care Services
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an IT management's point of view, cloud computing can increase the scalability, flexibility, and Nevertheless, compared with locally housed data, this model is not necessarily less secure. 64] limits the powers of organizations to collect, use, or disclose personal information in
cloud computing with wireless sensor in healthcare
A cloud computing solution for patient's data collection in health care institutions
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Therefore, we identified the opportunity to contribute with a solution that integrates concepts of wireless sensor networks and cloud computing to createproposal is a system to automate the process of collecting patient's vital data via a network of sensors connected to
Wireless sensor networks for healthcare
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Zigbee, and near-field radios to communicate wirelessly to nearby computers, personal digital as WiFi or cellular communications, to communicate directly with cloud computing services. Besides the convenience of tether less operation, such wireless connections permit sensor
Cloud computing for enhanced mobile health applications
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The interaction between health service provider, IMS network operator and cloud computing service providers should be regulated so as identity management and security verification is [9] Armbrust et.al.,Above the clouds: A Berkeley View of cloud compuring. http
Fog computing and its role in the internet of things
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out that in one architectural choice, the WSAN consists of two networks: a wirelesssensor net- workThe ultimate, global coverage is provided by the Cloud, which is used as repository forWe have outlined the vision and defined key characteris- tics of Fog Computing, a platform
Integrating wireless sensor networks with cloud computing
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in our ability to create, store and mine digital gathered information from the sensors. Wireless Sensor Networks (WSN) has moved from an early research topic to the point where the Cloud Computing is principally designed and promoted to be data centre centric and efficient Large scale computing frameworks: TheData stream management: Data management will include data format conversion into standard formats, data cleaning and aggregation to improve data quality, and data transfer to storage Clouds.Interfacing the Cloud with BSN
Cloud-enabled wireless body area networks for pervasive healthcare
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and radio frequency identification (RFID) [5].Hybrid clouds: In general, acan accelerate the migration from existing IT resources in hospitals to cloudcomputing, make fullat the peak load time, some work can be switched to the pub- lic cloud.
Secure and scalable cloud-based architecture for e-health wireless sensor networks
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described preliminary works and ignored the challenges induced by combining WSN and cloud computing.Indeed, data are stored on clouds operated by companies that may disclose personal Furthermore, we consider that cloud servers might collude with some malicious or
Mobile cloud for assistive healthcare (MoCAsH)
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developed over the existing Grid, it will be deployed in the newly Cloud infrastructure.363-367, Using clouds to address grid limitationsto the Proceedings of the 6th international workshop on Middleware for grid computing, Leuven, Belgium
From wireless sensor networks towards cyber physical systems
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MANET is made possible by the maturity of embedded computing technologies and wireless communication technologies.Embedded computers and networks monitor and control physical processes, while vice versa physical processes affect the results of
A framework of sensor-cloud integration opportunities and challenges
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In the past few years, wirelesssensor networks (WSNs) have been gaining increasing attention, both fromTo enable this exploration, sensor data of all types will drive a need forthis exploration may be more appropriately built from the data center cloud computing model than
Internet of Things (IoT): A vision, architectural elements, and future directions
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which is based on interaction of private and public Clouds is presentedthere is a need to deploy large-scale, platform-independent, wirelesssensor network infrastructure Cloudcomputing promises high reliability, scalability and autonomy to provide ubiquitous access, dynamic In 2008, wireless cloud computing emerged.2002 2003 2004 2005 2006 2007 2008 Figure 1. Papers on wireless grids and clouds increased during 2002 ~ 2008The utility service implements the utility computing model, and accepts the tasks submitted by users for execution.
Wireless sensor networks for habitat monitoring
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used in conjunction with its thermistor and the photo resistor to detect cloud cover [64.4 Sensor Deployment We deployed a wireless sensor network using Mica motes with Micaon GDI, we designed environmental protective packaging that minimally obstruct sensing functionality
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