Towards a Hybrid Data Partitioning Technique for Secure Data Outsourcing

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

In light of the progress achieved by the technology sector in the areas of internet speed and cloud services development, and in addition to other advantages provided by the cloud such as reliability and easy access from anywhere and anytime, most data owners saw an opportunity intaking advantage of the cloud to store data. However, data owners willface a challenge in confronting them in outsourcing, protecting sensitive data from leakage. Researchers found that partitioning data into partitions, based on data sensitivity, could protect data from leakage and increase performance by storing the partition, which contains sensitive datain an encrypted form. This thesis is presenting a hybrid data partitioning approach for secure sensitive data and improve query performance. In this novel approach, vertical and horizontal data partitioning are implemented using a Microsoft SQL server to generate divided partitioned relations. A group ofproposed rules is applied to the query request process; query binning (QB) and Metadata of partitioning. The proposed approach is validated using experiments involving a collection of data evaluated by outcomes of stored procedure. The suggested approach results are satisfactory in achieving the properties of defining the data security: non-link ability. The results of the proposed approach were satisfactory.The performance of query execution time was more excellent than 50% on average, which is better than the results of PANDA performance.

روابط وملفات

التعريف والنوع

رقم الوثيقة

fde78461-6008-48da-aab2-6cd13ea31bd0

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

852362_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Mousa Farajalla","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Nabil Arman","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Sultan Khalil Badran","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Towards a Hybrid Data Partitioning Technique for Secure Data Outsourcing

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

a Hybrid Data Partitioning Technique for Secure Data Outsourcing

إشراف وإعداد

الإشراف

Mousa Farajalla, Nabil Arman

الإعداد

Sultan Khalil Badran

الاقتباسات الببليوغرافية