An Optimizing and Differentially Private Clustering Algorithm for Mixed Data in SDN-Based Smart Grid

An Optimizing and Differentially Private Clustering Algorithm for Mixed Data in SDN-Based Smart Grid

Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use machine learning technologies to analyze a large amount of data generated in...

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Bibliographic Details
Main Authors: Zefang Lv, Lirong Wang, Zhitao Guan, Jun Wu, Xiaojiang Du, Hongtao Zhao, Mohsen Guizani
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Differential privacy
clustering
machine learning
SDN-based smart grid
big data
Online Access:https://ieeexplore.ieee.org/document/8681031/

Internet

https://ieeexplore.ieee.org/document/8681031/

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