Anonymization algorithm based on time density for data stream

Aim to address the problem of anonymization on data streams,an anonymization algorithm based on time density for data stream was proposed.Time weight and time density were designed for describing the data stream’s temporal,when the published clusters reach the threshold,it will delete the minimum ti...

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Main Authors: Jing XIE, Jian-pei ZHANG, Jing YANG, Bing ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2014.11.022/
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author Jing XIE
Jian-pei ZHANG
Jing YANG
Bing ZHANG
author_facet Jing XIE
Jian-pei ZHANG
Jing YANG
Bing ZHANG
author_sort Jing XIE
collection DOAJ
description Aim to address the problem of anonymization on data streams,an anonymization algorithm based on time density for data stream was proposed.Time weight and time density were designed for describing the data stream’s temporal,when the published clusters reach the threshold,it will delete the minimum time density cluster to ensure the availability of published clusters.Furthermore,in order to maintain the higher efficiency,the algorithm scans the data only once to satisfy the anonymization requirements for speeding up.The experimental results on the real dataset show that the algorithm is efficient and effective meanwhile the quality of the output data.
format Article
id doaj-art-febb84d5ef3f4a3e93a2900fc6a559c5
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-febb84d5ef3f4a3e93a2900fc6a559c52025-01-14T06:44:16ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-11-0135120159686507Anonymization algorithm based on time density for data streamJing XIEJian-pei ZHANGJing YANGBing ZHANGAim to address the problem of anonymization on data streams,an anonymization algorithm based on time density for data stream was proposed.Time weight and time density were designed for describing the data stream’s temporal,when the published clusters reach the threshold,it will delete the minimum time density cluster to ensure the availability of published clusters.Furthermore,in order to maintain the higher efficiency,the algorithm scans the data only once to satisfy the anonymization requirements for speeding up.The experimental results on the real dataset show that the algorithm is efficient and effective meanwhile the quality of the output data.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2014.11.022/privacy preservingdata streamanonymizationtemporalitaet
spellingShingle Jing XIE
Jian-pei ZHANG
Jing YANG
Bing ZHANG
Anonymization algorithm based on time density for data stream
Tongxin xuebao
privacy preserving
data stream
anonymization
temporalitaet
title Anonymization algorithm based on time density for data stream
title_full Anonymization algorithm based on time density for data stream
title_fullStr Anonymization algorithm based on time density for data stream
title_full_unstemmed Anonymization algorithm based on time density for data stream
title_short Anonymization algorithm based on time density for data stream
title_sort anonymization algorithm based on time density for data stream
topic privacy preserving
data stream
anonymization
temporalitaet
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2014.11.022/
work_keys_str_mv AT jingxie anonymizationalgorithmbasedontimedensityfordatastream
AT jianpeizhang anonymizationalgorithmbasedontimedensityfordatastream
AT jingyang anonymizationalgorithmbasedontimedensityfordatastream
AT bingzhang anonymizationalgorithmbasedontimedensityfordatastream