Network-based Active Defense for Securing Cloud-based Healthcare Data Processing Pipelines

Author(s):  
Vaibhav Akashe ◽  
Roshan Lal Neupane ◽  
Mauro Lemus Alarcon ◽  
Songjie Wang ◽  
Prasad Calyam
2021 ◽  
pp. 187-202
Author(s):  
Hala Shaari ◽  
Nermina Durmić ◽  
Nuredin Ahmed

2018 ◽  
Vol 10 (3) ◽  
pp. 76-90
Author(s):  
Ye Tao ◽  
Xiaodong Wang ◽  
Xiaowei Xu

This article describes how rapidly growing data volumes require systems that have the ability to handle massive heterogeneous unstructured data sets. However, most existing mature transaction processing systems are built upon relational databases with structured data. In this article, the authors design a hybrid development framework, to offer greater scalability and flexibility of data analysis and reporting, while keeping maximum compatibility and links to the legacy platforms on which transaction business logics run. Data, service and user interfaces are implemented as a toolset stack, for developing applications with functionalities of information retrieval, data processing, analyzing and visualizing. A use case of healthcare data integration is presented as an example, where information is collected and aggregated from diverse sources. The workflow and simulation of data processing and visualization are also discussed, to validate the effectiveness of the proposed framework.


2017 ◽  
Vol 20 (2) ◽  
pp. 1599-1614 ◽  
Author(s):  
Amit Kumar Das ◽  
Tamal Adhikary ◽  
Md. Abdur Razzaque ◽  
Majed Alrubaian ◽  
Mohammad Mehedi Hassan ◽  
...  

Computer ◽  
2016 ◽  
Vol 49 (11) ◽  
pp. 49-59 ◽  
Author(s):  
Xiang Su ◽  
Jarkko Hyysalo ◽  
Mika Rautiainen ◽  
Jukka Riekki ◽  
Jaakko Sauvola ◽  
...  

2019 ◽  
Vol 8 (4) ◽  
pp. 6164-6171

Cloud computing plays vital role in various services to the users. The application of cloud computing includes usage in business, media transmission, banking, health care, military application, insurance, wireless communication, etc. One such application using Cloud computing is health care. The patient health history is very significant for diagnostic analysis and decision making process. The healthcare data processing and communication technology (HDCT) is building a constant and secured health care data processing and sharing Electronic Health Services (EHS) are regularly utilized by the needy, specialists, and social insurance experts to diminish medical service cost and give productive human services forms healthcloud preserves the character-particular sensitive information for numerous purposes including biomedical research, medical health insurance groups, clinical statistics analysis, and many others. The various types of attacks and detection approaches in the healthcare have been reviewed in this work. It brings out the fact that the Electronic Health Data Record (EHDR) should be processed and transmitted in a secured and confidential environment while increasing accuracy and efficiency based on various algorithms such as machine learning.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 11887-11899 ◽  
Author(s):  
MD. Mofijul Islam ◽  
MD. Abdur Razzaque ◽  
Mohammad Mehedi Hassan ◽  
Walaa Nagy Ismail ◽  
Biao Song

1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.


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