## Privacy-preserving distributed mining of association rules on horizontally partitioned data

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Venue: | In The ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD’02 |

Citations: | 41 - 11 self |

### BibTeX

@INPROCEEDINGS{Clifton_privacy-preservingdistributed,

author = {Christopher Clifton and Murat Kantarcioglu and Chris Clifton and Senior Member},

title = {Privacy-preserving distributed mining of association rules on horizontally partitioned data},

booktitle = {In The ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD’02},

year = {},

pages = {24--31}

}

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### Abstract

Abstract—Data mining can extract important knowledge from large data collections—but sometimes these collections are split among various parties. Privacy concerns may prevent the parties from directly sharing the data and some types of information about the data. This paper addresses secure mining of association rules over horizontally partitioned data. The methods incorporate cryptographic techniques to minimize the information shared, while adding little overhead to the mining task. Index Terms—Data mining, security, privacy. æ

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(Show Context)
Citation Context ...d be correct.KANTARCIOGLU AND CLIFTON: PRIVACY-PRESERVING DISTRIBUTED MINING OF ASSOCIATION RULES ON HORIZONTALLY 1037 and further definitions and discussion of their security, can be found in [21], =-=[22]-=-, [23], [24]. ACKNOWLEDGMENTS The authors wish to acknowledge the contributions of Mike Atallah and Jaideep Vaidya. Discussions with them have helped to tighten the proofs, giving clear bounds on the ... |

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(Show Context)
Citation Context ...iÞ support countABðiÞ database sizeðiÞ confidenceAB)C supportAB)C : supportAB Note that this does not require sharing any individual transactions. We can easily extend an algorithm such as a priori =-=[1]-=- to the distributed case using the following . The authors are with the Department of Computer Sciences, Purdue University, 250 N. University St., W. Lafayette, IN 47907. E-mail: {kanmurat, clifton}@c... |

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Citation Context ...orrect.KANTARCIOGLU AND CLIFTON: PRIVACY-PRESERVING DISTRIBUTED MINING OF ASSOCIATION RULES ON HORIZONTALLY 1037 and further definitions and discussion of their security, can be found in [21], [22], =-=[23]-=-, [24]. ACKNOWLEDGMENTS The authors wish to acknowledge the contributions of Mike Atallah and Jaideep Vaidya. Discussions with them have helped to tighten the proofs, giving clear bounds on the inform... |

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Citation Context ...nstruct the distribution can be used to tighten estimates of original values based on the distorted data [5]. More recently, the data distortion approach has been applied to Boolean association rules =-=[6]-=-, [7]. Again, the idea is to modify data values such that reconstruction of the values for any individual transaction is difficult, but the rules learned on the distorted data are still valid. One int... |

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(Show Context)
Citation Context ...ult. The ability to share nonsensitive data enables highly efficient solutions. The problem of privately computing association rules in vertically partitioned distributed data has also been addressed =-=[10]-=-. The vertically partitioned problem occurs when each transaction is split across multiple sites, with each site having a different set of attributes for the entire set of transactions. With horizonta... |

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(Show Context)
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(Show Context)
Citation Context ...e global support of each rule and (from the lemma) be certain that all rules with support at least k have been found. More thorough studies of distributed association rule mining can be found in [2], =-=[3]-=-. The above approach protects individual data privacy, but it does require that each site disclose what rules it supports and how much it supports each potential global rule. What if this information ... |

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(Show Context)
Citation Context ....KANTARCIOGLU AND CLIFTON: PRIVACY-PRESERVING DISTRIBUTED MINING OF ASSOCIATION RULES ON HORIZONTALLY 1037 and further definitions and discussion of their security, can be found in [21], [22], [23], =-=[24]-=-. ACKNOWLEDGMENTS The authors wish to acknowledge the contributions of Mike Atallah and Jaideep Vaidya. Discussions with them have helped to tighten the proofs, giving clear bounds on the information ... |

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(Show Context)
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(Show Context)
Citation Context ...it is possible to determine if one is the square of the other (even though the base values are not revealed.) This violates the security requirement of Section 2.3. Huberman et al. provide a solution =-=[20]-=-. Rather than encrypting items directly, a hash of the items is encrypted. The hash occurs only at the originating site, the second and later encryption of items can use Pohlig-Hellman directly. The h... |

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