Enhance the security of cloud computing environment using semantic segregation techniques

العناوين الأخرى

تحسين الحماية في الحوسبة السحابية باستخدام تقنية الفصل المعنوي

مقدم أطروحة جامعية

Matarnih, Rami Yasir

مشرف أطروحة جامعية

Kayid, Ahmad K. A.

أعضاء اللجنة

Nasir al-Din, Hibah H. O.
Jafar, Iyad Dari

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2015

الملخص الإنجليزي

Cloud computing can offer the business community higher reliability, security, higher availability and cost effective maintenance.

These attractive benefits create the growing popularity of cloud computing.

The cloud service providers run multiple tenants’ databases in the cloud computing environment; thus it needs an efficient resource sharing management technique in order to allow clients to keep lower overall costs without losing or degrading quality of their services.

Thus, developing an efficient resource management for multi-tenant database system in cloud is essential for business community and cloud providers.

In the cloud, most applications share memory, processors, disk spaces, and databases with other companies’ applications to reduce the cost.

There are many critical issues and challenges in the cloud computing security in multi-tenant environment; one of these challenges is how the businesses data will be segregated.

This research proposed new techniques to segregate data for enhance the security.

This research built businesses taxonomy to classify the businesses depending on their type using the yellow pages, then use semantic similarity measurements in WordNet to calculate the similarity between the businesses in our taxonomy, which are Shortest Path Based measure, Wu-Palmer measure, Leakcock Chodorow’s measure, Resnik’s measure and Lin’s measure.

The proposed techniques are evaluated by comparing between the results of segregation techniques.

Experiments have been conducted in order to check the technique with least risk.

The results demonstrated that using data segregation techniques will increase the information security in cloud computing.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

عدد الصفحات

107

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Background and literature review.

Chapter Three : Taxonomy building.

Chapter Four : Segregation techniques.

Chapter Five : Conclusion.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Matarnih, Rami Yasir. (2015). Enhance the security of cloud computing environment using semantic segregation techniques. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-698802

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Matarnih, Rami Yasir. Enhance the security of cloud computing environment using semantic segregation techniques. (Master's theses Theses and Dissertations Master). Middle East University. (2015).
https://search.emarefa.net/detail/BIM-698802

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Matarnih, Rami Yasir. (2015). Enhance the security of cloud computing environment using semantic segregation techniques. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-698802

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-698802