Secure mining of the cloud encrypted database
Other Title(s)
التنقيب الأمن لقاعدة بيانات سحابيه مشفرة
Author
Source
Journal of Basrah Researches : Sciences
Issue
Vol. 43, Issue 2A (30 Jun. 2017), pp.44-57, 14 p.
Publisher
University of Basrah College of Education for Pure Sciences
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Due to the stunning characteristics of cloud computing, such as tremendous scalability, elasticity, cost-efficiency, pay-as-you go, and storage solutions, many enterprises and individuals are motivated to outsource their data to cloud service providers for availing its benefits.
Protecting and preserving the privacy of these data represent a persistent barrier from adopting the cloud computing.
Mining the cloud data may be misused for a variety of purposes.
To counter this problem, we propose a secure framework for mining the cloud data in a privacy preserving manner.
Secure k Nearest Neighbor (kNN) classifier is used in this paper.
In this work, we preserve all the restrictions that we specify privacy and success to exclude the third party from the mining process.
We test our secure classifier with different parameters to explain its influence on the accuracy and privacy the suggested classifier.
American Psychological Association (APA)
Saddam, Siba Abd al-Wahid. 2017. Secure mining of the cloud encrypted database. Journal of Basrah Researches : Sciences،Vol. 43, no. 2A, pp.44-57.
https://search.emarefa.net/detail/BIM-878148
Modern Language Association (MLA)
Saddam, Siba Abd al-Wahid. Secure mining of the cloud encrypted database. Journal of Basrah Researches : Sciences Vol. 43, no. 2A (2017), pp.44-57.
https://search.emarefa.net/detail/BIM-878148
American Medical Association (AMA)
Saddam, Siba Abd al-Wahid. Secure mining of the cloud encrypted database. Journal of Basrah Researches : Sciences. 2017. Vol. 43, no. 2A, pp.44-57.
https://search.emarefa.net/detail/BIM-878148
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 55-56
Record ID
BIM-878148