Call For Paper Volume:4 Issue:10 Oct'2017 |

PRIVACY ENSURED HEALTHCARE DATA ANALYSIS UNDER CLOUDS

Publication Date : 22/01/2016



Author(s) :

Ms. T. Vijaya Saratha, M.Sc., MPhil., Assistant Professor (Computer Science) , Ms. V. Deepa, MPhil., Research Scholar, , Ms. K.K. Kavitha, MCA., MPhil., Assistant Professor (Computer Science).


Volume/Issue :
Volume 3
,
Issue 1
(01 - 2016)



Abstract :

Abstract    Computational and data resources are shared through the Internet under the Cloud computing environment. Demand based service provisioning is available on the cloud. User data values are passed into the computational tasks under the remote machines. Data control is limited in the remote data access process. Data categorization methods are used to identify the normal and anomaly values. Categorization tasks are performed using the neural network techniques. Neural network operations are carried out suing Back-Propagation Neural Network (BPNN) algorithm. Learning and testing operations are performed in the neural network process.  The Back-Propagation Neural Network (BPNN) learning operations are carried out using collaborative learning method. Privacy preserved data analysis is carried out with Data Owner, Trusted Authority (TA) and Cloud Server elements. Cryptographic key values are issued by the Trusted Authority. The learning process is initiated by the data owners. Cloud resources are provided by the cloud server for the learning process. Cloud environment processes the cipher text uploaded by the data owner. The encrypted results are passed to the data owners. Encrypted data values are decrypted by the data owners. Sensitive data values are protected using Boneh, Goh and Nissim (BGN) doubly homomorphic encryption algorithm. Secure scalar Product and addition protocols are adapted to protect the intermediate data values.    Health care data classification is performed without the Trusted Authority. Distributed key generation mechanism is applied in the system. User and data authentication tasks are handled by the cloud server. Resource scheduling mechanism is also integrated with the health data security scheme. Privacy preserved BPN learning process is tuned with cloud resource allocation process.


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PRIVACY ENSURED HEALTHCARE DATA ANALYSIS UNDER CLOUDS

January 13, 2016