NDLI: Butterfly: Protecting Output Privacy in Stream Mining

Content Provider	IEEE Xplore Digital Library
Author	Ting Wang Ling Liu
Copyright Year	2008
Description	Author affiliation: Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA (Ting Wang; Ling Liu)
Abstract	Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The latter refers to preventing the mining output (model/pattern) from malicious pattern-based inference attacks. The preservation of input privacy does not necessarily lead to that of output privacy. This work studies the problem of protecting output privacy in the context of frequent pattern mining over data streams. After exposing the privacy breaches existing in current stream mining systems, we propose Butterfly, a light-weighted countermeasure that can effectively eliminate these breaches without explicitly detecting them, meanwhile minimizing the loss of the output accuracy. We further optimize the basic scheme by taking account of two types of semantic constraints, aiming at maximally preserving utility-related semantics while maintaining the hard privacy and accuracy guarantee. We conduct extensive experiments over real- life datasets to show the effectiveness and efficiency of our approach.
Starting Page	1170
Ending Page	1179
File Size	3453015
Page Count	10
File Format	PDF
ISBN	9781424418367
DOI	10.1109/ICDE.2008.4497526
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-07
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protection Data privacy Data mining Databases Diseases Hospitals Educational institutions Drives History Costs
Content Type	Text
Resource Type	Article

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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
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