Main Page
Deanship
The Dean
Dean's Word
Curriculum Vitae
Contact the Dean
Vision and Mission
Organizational Structure
Vice- Deanship
Vice- Dean
KAU Graduate Studies
Research Services & Courses
Research Services Unit
Important Research for Society
Deanship's Services
FAQs
Research
Staff Directory
Files
Favorite Websites
Deanship Access Map
Graduate Studies Awards
Deanship's Staff
Staff Directory
Files
Researches
Contact us
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
Property Graph Access Control (PGAC) Using View-Based and Query-Rewriting Approaches
التحكم في الوصول إلى بيانات الرسم البياني ذو الخصائص باستخدام العرض الجزئي و إعادة كتابة الاستعلام
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
Recently, the evolution of technology has given rise to the Big Data phenomenon. Thus, the NoSQL Big Data management system emerged and demonstrated its efficacy in managing such data. Graph databases, favored for their capability to handle complex relationships in connected data, are a type of NoSQL database. Nevertheless, securing its data against unauthorized access is a challenging problem. Therefore, this thesis investigates recent solutions for securing graph databases. We propose two security approaches that rely on views while supporting query rewriting and the utilization of contextual information. The first approach is the Materialized Views-Based Access Control (MVAC) which relies on materializing the views and then applying Access Control Policies whenever needed. The second approach is the Extended Materialized Views-Based Access Control (EMVAC) which enforces Access Control Policies on the views prior to materializing them. Experimental results demonstrate that the former conserves storage space at the cost of responsiveness, whereas the latter enhances responsiveness at the cost of storage space.
Supervisor
:
Dr. Asma Cherif
Thesis Type
:
Master Thesis
Publishing Year
:
1445 AH
2023 AD
Co-Supervisor
:
Dr. Suhair Alshehri
Added Date
:
Sunday, October 15, 2023
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
بسمة عبدالله الزهراني
Alzahrani, Basmah Abdullah
Researcher
Master
Files
File Name
Type
Description
49374.pdf
pdf
Back To Researches Page