Path: Top -> Journal -> Telkomnika -> 2019 -> Vol 17, No 6, Desember 2019
Classifying Confidential Data using SVM for Efficient Cloud Query Processing
By : Huda Kadhim Tayyeh, Ahmed Sabah Al-Jumaili, Telkomnika
Created : 2020-01-09, with 1 files
Keyword : advanced standard encryption, cloud database, cloud query processing, support vector machin
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/issue/view/640
Document Source : web
Nowadays, organizations are widely using a cloud database engine from the cloud service
providers. Privacy still is the main concern for these organizations where every organization is strictly
looking forward more secure environment for their own data. Several studies have proposed different types
of encryption methods to protect the data over the cloud. However, the daily transactions represented by
queries for such databases makes encryption is inefficient solution. Therefore, recent studies presented
a mechanism for classifying the data prior to migrate into the cloud. This would reduce the need of
encryption which enhances the efficiency. Yet, most of the classification methods used in the literature
were based on string-based matching approach. Such approach suffers of the exact match of terms where
the partial matching would not be considered. This paper aims to take the advantage of N-gram
representation along with Support Vector Machine classification. A real-time data will used in
the experiment. After conducting the classification, the Advanced Encryption Standard algorithm will be
used to encrypt the confidential data. Results showed that the proposed method outperformed the baseline
encryption method. This emphasizes the usefulness of using the machine learning techniques for
the process of classifying the data based on confidentiality.
Property | Value |
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Publisher ID | gdlhub |
Organization | Telkomnika |
Contact Name | Herti Yani, S.Kom |
Address | Jln. Jenderal Sudirman |
City | Jambi |
Region | Jambi |
Country | Indonesia |
Phone | 0741-35095 |
Fax | 0741-35093 |
Administrator E-mail | elibrarystikom@gmail.com |
CKO E-mail | elibrarystikom@gmail.com |
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