Privacy protection scheme of DBSCAN clustering based on homomorphic encryption

In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accur...

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Main Authors: Chunfu JIA, Ruiqi LI, Yafei WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-02-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021026/
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author Chunfu JIA
Ruiqi LI
Yafei WANG
author_facet Chunfu JIA
Ruiqi LI
Yafei WANG
author_sort Chunfu JIA
collection DOAJ
description In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2021-02-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-22705918171f4255b89d2a4430cbde8d2025-01-14T07:21:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-02-014211159740079Privacy protection scheme of DBSCAN clustering based on homomorphic encryptionChunfu JIARuiqi LIYafei WANGIn order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021026/privacy protectiondensity clusteringhomomorphic encryptiondata pre-processingcomparison on en-crypted data
spellingShingle Chunfu JIA
Ruiqi LI
Yafei WANG
Privacy protection scheme of DBSCAN clustering based on homomorphic encryption
Tongxin xuebao
privacy protection
density clustering
homomorphic encryption
data pre-processing
comparison on en-crypted data
title Privacy protection scheme of DBSCAN clustering based on homomorphic encryption
title_full Privacy protection scheme of DBSCAN clustering based on homomorphic encryption
title_fullStr Privacy protection scheme of DBSCAN clustering based on homomorphic encryption
title_full_unstemmed Privacy protection scheme of DBSCAN clustering based on homomorphic encryption
title_short Privacy protection scheme of DBSCAN clustering based on homomorphic encryption
title_sort privacy protection scheme of dbscan clustering based on homomorphic encryption
topic privacy protection
density clustering
homomorphic encryption
data pre-processing
comparison on en-crypted data
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021026/
work_keys_str_mv AT chunfujia privacyprotectionschemeofdbscanclusteringbasedonhomomorphicencryption
AT ruiqili privacyprotectionschemeofdbscanclusteringbasedonhomomorphicencryption
AT yafeiwang privacyprotectionschemeofdbscanclusteringbasedonhomomorphicencryption