Implementation of a big data anonymization system based on Spark
Group based anonymization is a classical data anonymization framework,which achieves the effect of privacy protection by constructing groups of anonymized data records ensuring that records in the same group cannot be distinguished with each other.The electric power industry big data analysis involv...
Saved in:
Main Authors: | Chaoyi BIAN, Shaomin ZHU, Tao ZHOU |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2018-04-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018133/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Differentially private data release based on clustering anonymization
by: Xiao-qian LIU, et al.
Published: (2016-05-01) -
Anonymization algorithm based on time density for data stream
by: Jing XIE, et al.
Published: (2014-11-01) -
Clustering algorithm preserving differential privacy in the framework of Spark
by: Zhi-qiang GAO, et al.
Published: (2016-11-01) -
Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java
by: Hoger Khayrolla Omar, et al.
Published: (2019-05-01) -
Trajectories anonymous algorithm for association attack
by: Lei ZHANG, et al.
Published: (2017-06-01)