Book chapter
Secure Two-Party Association Rule Mining Based on One-Pass FP-Tree
Privacy Solutions and Security Frameworks in Information Protection, pp.82-102
IGI Global
2013
Abstract
Frequent Path tree (FP-tree) is a popular method to compute association rules and is faster than Apriori-based solutions in some cases. Association rule mining using FP-tree method cannot ensure entire privacy since frequency of the itemsets are required to share among participants at the first stage. Moreover, FP-tree method requires two scans of database transactions which may not be the best solution if the database is very large or the database server does not allow multiple scans. In addition, one-pass FP-tree can accommodate continuous or periodically changing databases without restarting the process as opposed to a regular FP-tree based solution. In this paper, the authors propose a one-pass FP-tree method to perform association rule mining without compromising any data privacy among two parties. A fully homomorphic encryption system over integer numbers is applied to ensure secure computation among two data sites without disclosing any number belongs to themselves.
Details
- Title
- Secure Two-Party Association Rule Mining Based on One-Pass FP-Tree
- Authors/Creators
- M.G. Kaosar (Author/Creator)X. Yi (Author/Creator)
- Contributors
- H. Nemati (Editor)
- Publication Details
- Privacy Solutions and Security Frameworks in Information Protection, pp.82-102
- Publisher
- IGI Global
- Identifiers
- 991005540205407891
- Copyright
- © 2013 IGI Global
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Book chapter
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