Study of a Privacy Preserving Logistic Regression Algorithm (PPLRA) for Data Privacy in the Context of Big Data

Study of a Privacy Preserving Logistic Regression Algorithm (PPLRA) for Data Privacy in the Context of Big Data

Regression algorithms are commonly used in machine learning. Based on encryption and privacy protection methods, the current key hot technology regression algorithm and the same encryption technology are studied.This paper proposes a PPLAR based algorithm. The correlation between data items is obtai...

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Bibliographic Details
Main Authors: Chen, Q. (Author), Deng, M. (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2021
Subjects:
Big data
Clustering algorithms
'current
Data privacy
Encryption protection
Encryption technologies
Homomorphic encryption
Ho-momorphic encryptions
Homomorphic-encryptions
Logistic regression
Logistic regression algorithms
Machine learning
Privacy preserving
Privacy protection
Privacy-preserving techniques
Protection methods
Regression algorithms
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