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Privacy Preserving Clustering on Horizontally Partitioned Data

A. Inan, Y. Saygyn, E. Savas, A.A. Hintoglu, A. Levi
2006 22nd International Conference on Data Engineering Workshops (ICDEW'06)  
To the best of our knowledge this is the first work on privacy preserving distributed clustering on horizontally partitioned data.  ...  Section 3 gives the problem formulation for privacy preserving clustering of horizontally partitioned data.  ...  In this paper, we propose a privacy preserving clustering technique on horizontally partitioned data.  ... 
doi:10.1109/icdew.2006.115 dblp:conf/icde/InanSSHL06 fatcat:kjaizd7lrngntk64ijkagwj5n4

Privacy Preserving Spatio-temporal Clustering on Horizontally Partitioned Data [chapter]

Ali Inan, Yucel Saygin
2010 Lecture Notes in Computer Science  
doi:10.1007/978-3-642-16392-0_11 fatcat:gy7b6rmlt5hhzdu6l4v4f6a4ze

Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data [chapter]

Ali İnan, Yücel Saygın
2006 Lecture Notes in Computer Science  
doi:10.1007/11823728_44 fatcat:ct6b6sz5vnby3bohfacqqzyozi

Privacy Preserving Multiview Point Based BAT Clustering Algorithm and Graph Kernel Method for Data Disambiguation on Horizontally Partitioned Data

J. Anitha, R. Rangarajan
2015 Research Journal of Applied Sciences Engineering and Technology  
Developing data mining techniques both suitable for databases as well as to maintain the individual privacy becomes the primary aim of research based on privacy preserving data mining (PPDM).  ...  The present PDDM clustering methods perform privacy preservation only with single point of view in which every tuple in the data matrix for data holder containing single sensitive attribute is been considered  ...  CONCLUSION This novel privacy preservation multi-view point based clustering framework for horizontally partitioned databases has been presented in this work.  ... 
doi:10.19026/rjaset.10.2473 fatcat:wbzcax2dwzhudi4nbryucvizcy

Data Mining-Based Privacy Preservation Technique for Medical Dataset Over Horizontal Partitioned

Shivlal Mewada
2021 International Journal of E-Health and Medical Communications (IJEHMC)  
In this work, K-Means++ algorithm is implemented to determine the horizontal partitioning on the cloud platform without disclosing the cluster centers information.  ...  The valuable information is extracted through data mining techniques. Recently, privacy preserving data mining techniques are widely adopted for securing and protecting the information and data.  ...  introduced a privacy preserving data mining algorithm for horizontal and vertical partitioned databases.  ... 
doi:10.4018/ijehmc.20210901.oa4 fatcat:xnaignxek5h5njnlqzb7ia66bq

Attribute association based privacy preservation for multi trust level environment

R PRAVEENA PRIYADARSINI, M L VALARMATHI, S SIVAKUMARI
2015 Sadhana (Bangalore)  
The two methods perform vertical and horizontal partitioning of data for privacy preservation.  ...  Privacy Preserving Data Mining [PPDM] is a field of research which concentrates on preserving data privacy during the process of data mining.  ...  Also, the graphs show that vertical partitioning has more effect on privacy preservation than horizontal partitioning.  ... 
doi:10.1007/s12046-015-0412-4 fatcat:ah4tav66cfadlgnzqxoqa7h7wq

Comprehensive Research on Privacy Preserving Emphasizing on Distributed Clustering

2016 International Journal of Science and Research (IJSR)  
This work focuses on the previous development, existing challenges, and upcoming trends in privacy preserving kmeans clustering with horizontally and vertically distributed data.  ...  Significant research in privacy preserving distributed clustering is shaped on k-means clustering algorithm with secure multiparty computation (SMC).  ...  This paper focuses on remarkable work in privacy preserving clustering with horizontal and vertical data distribution.  ... 
doi:10.21275/v5i4.nov163055 fatcat:pmmxg7htwrfiddv5ix5suumvka

Privacy preserving distributed DBSCAN clustering

Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong
2012 Proceedings of the 2012 Joint EDBT/ICDT Workshops on - EDBT-ICDT '12  
We first propose two protocols for privacy preserving DBSCAN clustering over horizontally and vertically partitioned data respectively and then extend them to arbitrarily partitioned data.  ...  In this paper, we address the problem of two-party privacy preserving DB-SCAN clustering.  ...  Privacy Preserving Distributed DBSCAN Clustering over Horizontally Partitioned Data Distance protocol for horizontally partitioned data.  ... 
doi:10.1145/2320765.2320819 dblp:conf/edbt/LiuHLX12 fatcat:rci4iazpmjgr5eqtrsogejer5u

Privacy Preserving Combinatorial Function for Multi-Partitioned Data Sets

V. S.Prakash, A. Shanmugam, P. Murugesan
2012 International Journal of Computer Applications  
In this work, we plan to present an effective and efficient cluster based privacy preserving data perturbation technique to mine Multi-partitioned data sets that comprises of both vertical and horizontal  ...  To facilitate privacy preservation in data mining or machine learning algorithms over horizontally partitioned or vertically partitioned data, many protocols have been proposed using SMC and various secure  ...  It is necessary to develop a privacy preserving scheme for both horizontal and vertical partitioned data sets using data perturbation technique.  ... 
doi:10.5120/6281-8450 fatcat:u6hlf2f2kzbqrlp2tz53d3qavu

Privacy Preserving Two-Party Hierarchical Clustering Over Vertically Partitioned Dataset

Animesh Tripathy, Ipsa De
2013 Journal of Software Engineering and Applications  
So, in this paper we propose a privacy preserving two party hierarchical clustering algorithm vertically partitioned data set.  ...  Data mining has been a popular research area for more than a decade. There are several problems associated with data mining. Among them clustering is one of the most interesting problems.  ...  Privacy Preserving Clustering Algorithm Privacy Preserving Clustering Algorithm Assume that a data set D consists of n instances with m attributes and it is vertically partitioned between Alice and Bob  ... 
doi:10.4236/jsea.2013.65b006 fatcat:xkdgnammijcovl4vb23dyd5ksm

Privacy-Preserving Distributed Data Mining Techniques: A Survey

V. Baby, N. Subhash
2016 International Journal of Computer Applications  
In this paper, we review and provide extensive survey on different privacy preserving data mining methods and analyses the representative techniques for privacy preserving data mining.  ...  To overcome this problem, numerous privacy-preserving distributed data mining practices have been suggested such as protect privacy of their data by perturbing it with a randomization algorithm and using  ...  over horizontally partitioned data.  ... 
doi:10.5120/ijca2016910381 fatcat:bwlgsbttmnahzdts5nw5um5noy

Privacy Preserving Data Mining Technique and Their Implementation

2017 International Journal of Research Studies in Computer Science and Engineering  
In this work, a cloud computing based protocol for privacypreserving distributed K-means clustering over horizontally partitioned data, shared between N parties, is proposed.  ...  The work is focused on giving a privacy-preserving distributed K-means clustering algorithm which uses secret sharing paradigm to provide privacy.  ...  The clustering is done over horizontally partitioned data. Phase 1.  ... 
doi:10.20431/2349-4859.0402003 fatcat:5tlh3b35sbdtrathml5veunope

An Efficient Technique to Secure Data Access for Multiple Domains using Overlapping Slicing

Rani V
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Also provide secure data access for multiple domains. This novel approaches work on overlapped slicing to improve preserve data utility and privacy better than traditional slicing.  ...  Recently, slicing was proposed as a technique for anonymized published dataset by partitioning the dataset vertically and horizontally.  ...  Slicing: Slicing divides the data set both horizontally and vertically. In vertical partition attributes are grouping into columns built on the correlations between the attributes.  ... 
doi:10.17762/ijritcc2321-8169.150450 fatcat:xysy4wpoejh7zk6juheyzikgvi

A privacy-preserving technique for Euclidean distance-based mining algorithms using Fourier-related transforms

Shibnath Mukherjee, Zhiyuan Chen, Aryya Gangopadhyay
2006 The VLDB journal  
Privacy preserving data mining has become increasingly popular because it allows sharing of privacy-sensitive data for analysis purposes.  ...  Three algorithms to select the most important transform coefficients are presented, one for a centralized database case, the second one for a horizontally partitioned, and the third one for a vertically  ...  A privacy-preserving technique for clustering is proposed in [29] .  ... 
doi:10.1007/s00778-006-0010-5 fatcat:lvidqbqz3fae5blyqk4eiu4vvm

2016, Page No. 16329-16332 Ms.K.Muthukarupaee1 , IJECS Volume 05 Issue 5 May 2016 Page No.16329-16332 Page 16329 Data Restoration and Privacy Preserving of Data Mining Using Random Decision Tree Over Vertically Partitioned Data

Ms.K. Muthukarupaee, Ms. Blessyselvam
2016 International Journal Of Engineering And Computer Science  
, so privacy-preserving data mining (PPDM) it has become one of the most newest trends in the privacy, security and data mining research.  ...  Existing cryptography is the based work for privacy-preserving data mining and is still too slow to be effective for the large scale.  ...  Horizontally Partitioned Data When data is horizontally partitioned and collect data for different entities, but have data for all of the attributes.We now need to figure out how the RDTs can be constructed  ... 
doi:10.18535/ijecs/v5i5.02 fatcat:a7sss7gyxfah7kd2svuzazqyqi
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