NDLI: Efficient Privacy-Preserving Association Rule Mining: P4P Style

Content Provider	IEEE Xplore Digital Library
Author	Yitao Duan Canny, J. Zhan, J.
Copyright Year	2007
Description	Author affiliation: Comput. Sci. Div., California Univ., Berkeley, CA (Yitao Duan; Canny, J.)
Abstract	In this paper we introduce a new practical framework, called P4P (peers for privacy), for privacy-preserving data mining. P4P features a hybrid architecture combining P2P and client-server paradigms and provides practical private protocols for user data validation and general computation. The architecture is guided by the natural incentives of the participants and allows the computation to be based on verifiable secret sharing (VSS) where arithmetic operations are done over small fields (e.g. 32 or 64 bits), so that private arithmetic operations have the same cost as normal arithmetic. Verification of user data, which uses large-field public-key arithmetic (1024 bits or more) and homomorphic computation, only requires a small number (constant or logarithmic in the size of user data) of large integer operations. The solution is extremely efficient: In experiments with our implementation, verification of a million-element vector takes a few seconds of server or client time on commodity PCs (in contrast, using standard techniques takes hours). This verification can be used in many privacy-preserving data mining tasks to detect cheating users who attempt to bias the computation by submitting exaggerated values as their inputs. As an example, we demonstrate how association rule mining can be done in the P4P model with near-optimal efficiency and provable privacy
Starting Page	654
Ending Page	660
File Size	143229
Page Count	7
File Format	PDF
ISBN	1424407052
DOI	10.1109/CIDM.2007.368938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variable structure systems Data privacy Protocols Costs Public key Computer architecture Association rules Data mining Cryptography Arithmetic
Content Type	Text
Resource Type	Article

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