NDLI: Protecting Privacy in case based reasoning by disordered PCA on one class data

Content Provider	IEEE Xplore Digital Library
Author	Wei Lu Tian-Rong Zhong Xun Liao Rui Wu
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Technology, Shan Dong University, Jinan 250061, China (Rui Wu) \|\| School of Information Technology of Beijing Normal University Zhuhai Campus, Zhuhai 519085, China (Wei Lu) \|\| Software Institute, Zhongshan University, Guangzhou 510275, China (Tian-Rong Zhong) \|\| Corresponding Author, Logistics College, Beijing Normal University Zhuhai Campus, Zhuhai 519085, China (Xun Liao)
Abstract	Protecting Privacy has attracted more and more attention in data mining. Case based reasoning(CBR) is very important task in data mining. This paper presents method that protects the privacy by disordered principal component analysis(PCA) on one class data. In order to be ensure the security of the CBR, we first disorder the PCA to select the principal component confusedly. Further we transform the sensitive attribution into principal component space using disordered PCA, thus the sensitive attributes are encrypted and protected. Because the PCA method is disordered, this algorithm is very secure. In addition, PCA can keep the main character of dataset, so the precision change of CBR after encryption can be controlled in a small scope. The experiment show that if we select appropriate parameters, then nearest neighbors of every point may be high consistent. The present algorithm can guarantee that the security and the precision both achieve the requirements.
Starting Page	523
Ending Page	526
File Size	181654
Page Count	4
File Format	PDF
ISBN	9781424465262
e-ISBN	9781424465279
DOI	10.1109/ICMLC.2010.5581006
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Uncertainty Encryption encryption Disordered principal component analysis case based reasoning sensitive information
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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