A Multilevel Security Framework for Cloud-Based Ubiquitous Healthcare Application Service

Author(s):  
Giovanni Cagalaban ◽  
Donghyun Kim ◽  
Seoksoo Kim ◽  
E-Jung Choi
IEEE Network ◽  
2020 ◽  
Vol 34 (5) ◽  
pp. 114-119 ◽  
Author(s):  
Jaspreet Singh ◽  
Ahmed Refaey ◽  
Abdallah Shami

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Sudha Devi Dorairaj ◽  
Thilagavathy Kaliannan

Cloud computing is renowned for delivering information technology services based on internet. Nowadays, organizations are interested in moving their massive data and computations into cloud to reap their significant benefits of on demand service, resource pooling, and rapid elasticity that helps to satisfy the dynamically changing infrastructure demand without the burden of owning, managing, and maintaining it. Since the data needs to be secured throughout its life cycle, security of the data in cloud is a major challenge to be concentrated on because the data is in third party’s premises. Any uniform simple or high level security method for all the data either compromises the sensitive data or proves to be too costly with increased overhead. Any common multiple method for all data becomes vulnerable when the common security pattern is identified at the event of successful attack on any information and also encourages more attacks on all other data. This paper suggests an adaptive multilevel security framework based on cryptography techniques that provide adequate security for the classified data stored in cloud. The proposed security system acclimates well for cloud environment and is also customizable and more reliant to meet the required level of security of data with different sensitivity that changes with business needs and commercial conditions.


Author(s):  
Stefan Achleitner ◽  
Quinn Burke ◽  
Patrick McDaniel ◽  
Trent Jaeger ◽  
Thomas La Porta ◽  
...  

2019 ◽  
Vol 16 (3) ◽  
pp. 753-772
Author(s):  
Jianqiang Hu ◽  
Wei Liang ◽  
Zhiyong Zeng ◽  
Yong Xie ◽  
Jianxun Yang

In order to tackle some challenges in ubiquitous healthcare monitoring such as mobility, scalability, and network latency, a framework for Fog-assisted healthcare monitoring is proposed in this paper. This framework is composite of body-sensing layer, Fog layer (Fog-assisted gateway), Cloud layer (health Cloud). And then, this paper makes an intensive study in some key technologies of the proposed framework such as an IPv6-based network architecture, intelligent warning model based on subband energy feature, security framework of HL7 RIM-based data exchange, health risk assessment based on fusion of grey model and Markov model. Finally, results of experiment depict that the proposed intelligent warning model can make immediate distinction abnormal signals. Moreover, the proposed health assessment model confirms its effectiveness with respect to 245 patients in Xiamen District of Jimei.


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