Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering

In this paper, we propose a homomorphic encryption-based privacy protection scheme for DBSCAN clustering to reduce the risk of privacy leakage during data outsourcing computation. For the purpose of encrypting data in practical applications, we propose a variety of data preprocessing methods for dif...

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Main Authors: Mingyang Wang, Wenbin Zhao, Kangda Cheng, Zhilu Wu, Jinlong Liu
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/7/1046
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author Mingyang Wang
Wenbin Zhao
Kangda Cheng
Zhilu Wu
Jinlong Liu
author_facet Mingyang Wang
Wenbin Zhao
Kangda Cheng
Zhilu Wu
Jinlong Liu
author_sort Mingyang Wang
collection DOAJ
description In this paper, we propose a homomorphic encryption-based privacy protection scheme for DBSCAN clustering to reduce the risk of privacy leakage during data outsourcing computation. For the purpose of encrypting data in practical applications, we propose a variety of data preprocessing methods for different data accuracies. We also propose data preprocessing strategies based on different data precision and different computational overheads. In addition, we also design a protocol to implement the cipher text comparison function between users and cloud servers. Analysis of experimental results indicates that our proposed scheme has high clustering accuracy and can guarantee the privacy and security of the data.
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spelling doaj.art-f690240506d74715a828889f014bdd142023-11-30T23:06:38ZengMDPI AGElectronics2079-92922022-03-01117104610.3390/electronics11071046Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN ClusteringMingyang Wang0Wenbin Zhao1Kangda Cheng2Zhilu Wu3Jinlong Liu4Southwest Institute of Electronic Technology of China, Chengdu 610036, ChinaSouthwest Institute of Electronic Technology of China, Chengdu 610036, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaIn this paper, we propose a homomorphic encryption-based privacy protection scheme for DBSCAN clustering to reduce the risk of privacy leakage during data outsourcing computation. For the purpose of encrypting data in practical applications, we propose a variety of data preprocessing methods for different data accuracies. We also propose data preprocessing strategies based on different data precision and different computational overheads. In addition, we also design a protocol to implement the cipher text comparison function between users and cloud servers. Analysis of experimental results indicates that our proposed scheme has high clustering accuracy and can guarantee the privacy and security of the data.https://www.mdpi.com/2079-9292/11/7/1046privacy protectiondensity clusteringhomomorphic encryption
spellingShingle Mingyang Wang
Wenbin Zhao
Kangda Cheng
Zhilu Wu
Jinlong Liu
Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
Electronics
privacy protection
density clustering
homomorphic encryption
title Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
title_full Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
title_fullStr Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
title_full_unstemmed Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
title_short Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
title_sort homomorphic encryption based privacy preservation scheme for dbscan clustering
topic privacy protection
density clustering
homomorphic encryption
url https://www.mdpi.com/2079-9292/11/7/1046
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AT wenbinzhao homomorphicencryptionbasedprivacypreservationschemefordbscanclustering
AT kangdacheng homomorphicencryptionbasedprivacypreservationschemefordbscanclustering
AT zhiluwu homomorphicencryptionbasedprivacypreservationschemefordbscanclustering
AT jinlongliu homomorphicencryptionbasedprivacypreservationschemefordbscanclustering