scholarly journals Extremely Randomized Trees with Privacy Preservation for Distributed Structured Health Data

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Amin Aminifar ◽  
Matin Shokri ◽  
Fazle Rabbi ◽  
Violet Ka I Pun ◽  
Yngve Lamo
Keyword(s):  
Privacy Preservation ◽  
Health Data ◽  
Extremely Randomized Trees

LSH-aware multitype health data prediction with privacy preservation in edge environment

2021 ◽  
Author(s):  
Lingzhen Kong ◽  
Lina Wang ◽  
Wenwen Gong ◽  
Chao Yan ◽  
Yucong Duan ◽  
...  
Keyword(s):  
Privacy Preservation ◽  
Health Data ◽  
Data Prediction

scholarly journals Cloud Based Reasoning Health Data using Homomorphic Encryption

2020 ◽  
Vol 9 (1) ◽  
pp. 609-611
Keyword(s):  
Privacy Preservation ◽  
Service Providers ◽  
Homomorphic Encryption ◽  
Health Data ◽  
Insider Threat ◽  
Due Diligence ◽  
Encrypted Data ◽  
Plain Text ◽  
Security Issues ◽  
Client Data

Cloud computing is an abundant heterogeneous paradigm. The clients are given access to cloud for storing large amount of data for many purposes. The major cloud security issues are data breaches, insider threat and insufficient due diligence etc. Most of the service providers save the Client data as a plain text format which makes the data less secured. Aim of the system is to protect the health data that are outsourced for storing in cloud. In this system, the data is encrypted using paillier cryptosystem before outsourcing, which preserves the privacy of patient’s health data. Computations are performed over this encrypted data using decision tree algorithm. The results are displayed on the client machine. Hence, it ensures the privacy preservation and cautions the patient about his health.

PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

2014 ◽  
Vol 284 ◽  
pp. 130-141 ◽  
Author(s):  
Kuan Zhang ◽  
Xiaohui Liang ◽  
Mrinmoy Baura ◽  
Rongxing Lu ◽  
Xuemin (Sherman) Shen
Keyword(s):  
Data Aggregation ◽  
Privacy Preservation ◽  
Health Data ◽  
A Priority
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