A novel approach for hiding sensitive association rules using data perturbation and query restriction strategy in recommendation systems
Joint Authors
Kamal, Riham
Husayn, Widad
Ismail, Rasha
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 20, Issue 1 (31 Jul. 2020), pp.44-58, 15 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2020-07-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Mining association rules is considered to be core topic of data mining.
Discovering these associations is beneficial and is highly needed to the correct and appropriate decision made by decision makers in the different fields.
Association rule Mining imposes threats to data sharing, since it may disclose patterns and various kinds of sensitive knowledge that are difficult to find.
Such information must be protected against unauthorized access.
In this paper, we used DPQR strategy (data perturbation and query restriction) to hide the sensitive patterns.
Experimental results showed that our proposed system can hide sensitive rules with multiple items in consequent (right hand side (R.H.S)) and antecedent (left hand side (L.H.S)) with efficient and faster performance compared to MDSRRC (Modified Decrease Support of R.H.S.
items of Rule Cluster) with average improvement 96.22 % as well as generating accurate recommendations without revealing sensitive information.
American Psychological Association (APA)
Kamal, Riham& Husayn, Widad& Ismail, Rasha. 2020. A novel approach for hiding sensitive association rules using data perturbation and query restriction strategy in recommendation systems. International Journal of Intelligent Computing and Information Sciences،Vol. 20, no. 1, pp.44-58.
https://search.emarefa.net/detail/BIM-985458
Modern Language Association (MLA)
Kamal, Riham…[et al.]. A novel approach for hiding sensitive association rules using data perturbation and query restriction strategy in recommendation systems. International Journal of Intelligent Computing and Information Sciences Vol. 20, no. 1 (Jul. 2020), pp.44-58.
https://search.emarefa.net/detail/BIM-985458
American Medical Association (AMA)
Kamal, Riham& Husayn, Widad& Ismail, Rasha. A novel approach for hiding sensitive association rules using data perturbation and query restriction strategy in recommendation systems. International Journal of Intelligent Computing and Information Sciences. 2020. Vol. 20, no. 1, pp.44-58.
https://search.emarefa.net/detail/BIM-985458
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 57-58
Record ID
BIM-985458