NDLI: Publishing set valued data via m-privacy

Content Provider	IEEE Xplore Digital Library
Author	Tiwari, P.K. Chaturvedi, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Inf. Technol., SATI, Vidisha, India (Tiwari, P.K.; Chaturvedi, S.)
Abstract	It is very important to achieve security of data in distributed databases. With increasing in the usability of distributed database security issues regarding it are also going to be more complex. M-privacy is a very effective technique which may be used to achieve security of distributed databases. Set-valued data provides huge opportunities for a variety of data mining tasks. Most of the present data publishing techniques for set-valued data are refers to horizontal division based privacy models. Differential privacy method is totally opposite to horizontal based privacy method; it provides higher privacy guarantee and it is also so vereign of an adversary's environment information and computational capability. Set-valued data have high dimensionality so not any single existing data publishing approach for differential privacy can be applied for both utility and scalability. This work provided detailed information about this new threat, and gave some assistance to resolve it. At the start we introduced the concept of m-privacy. This concept guarantees that the anonymous data will satisfies a given privacy check next to any group of up to m colluding data providers. After it we presented heuristic approach for exploiting the monotonicity of confidentiality constraints for proficiently inspecting m-privacy given a cluster of records. Next, we have presented a data provider-aware anonymization approach with adaptive m-privacy inspection strategies to guarantee high usefulness and m-privacy of anonymized data with effectiveness. Finally, we proposed secured multi-party calculation protocols for set valued data publishing with m-privacy.
Starting Page	1
Ending Page	6
File Size	761492
Page Count	6
File Format	PDF
ISSN	23479337
e-ISBN	9781479963935
DOI	10.1109/ICAETR.2014.7012814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Privacy Data privacy Publishing Computational modeling Taxonomy Set-valued dataset Distributed databases Data mining
Content Type	Text
Resource Type	Article

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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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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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