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Analysis and Evaluation of Schemes for Secure Sum in Collaborative Frequent Itemset Mining across Horizontally Partitioned Data
Joint Authors
Nanavati, Nirali R.
Lalwani, Prakash
Jinwala, Devesh C.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Privacy preservation while undertaking collaborative distributed frequent itemset mining (PPDFIM) is an important research direction.
The current state of the art for privacy preservation in distributed frequent itemset mining for secure sum in a horizontally partitioned data model comprises primarily public key based homomorphic schemes which are expensive in terms of the communication and computation cost.
The nonpublic key based existing state-of-the-art scheme by Clifton et al.
used for secure sum in PPDFIM is efficient but prone to security attacks.
In this paper, we propose Shamir’s secret sharing based approaches and a symmetric key based scheme to calculate the secure sum in PPDFIM.
These schemes are information theoretically secure under the standard assumptions.
We further give a detailed theoretical and empirical evaluation of our proposed schemes for PPDFIM using a real market basket dataset.
Our experimental analysis also shows that our schemes perform better in terms of the execution cost compared to the public key based scheme for secure sum in PPDFIM.
American Psychological Association (APA)
Nanavati, Nirali R.& Lalwani, Prakash& Jinwala, Devesh C.. 2014. Analysis and Evaluation of Schemes for Secure Sum in Collaborative Frequent Itemset Mining across Horizontally Partitioned Data. Journal of Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1040422
Modern Language Association (MLA)
Nanavati, Nirali R.…[et al.]. Analysis and Evaluation of Schemes for Secure Sum in Collaborative Frequent Itemset Mining across Horizontally Partitioned Data. Journal of Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1040422
American Medical Association (AMA)
Nanavati, Nirali R.& Lalwani, Prakash& Jinwala, Devesh C.. Analysis and Evaluation of Schemes for Secure Sum in Collaborative Frequent Itemset Mining across Horizontally Partitioned Data. Journal of Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1040422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040422