Optimizing security for software deployed on cloud environment using evolutionary search

العناوين الأخرى

تحسين أمن البرمجيات التي تعمل في البيئة السحابية باستخدام الخوارزميات الجينية

مقدم أطروحة جامعية

Radwan, Wafa

مشرف أطروحة جامعية

Hassunah, Yusuf

أعضاء اللجنة

Sayyad, Abd al-Salam
Ammar, Nariman

الجامعة

جامعة بيرزيت

الكلية

كلية الهندسة و التكنولوجيا

القسم الأكاديمي

دائرة علم الحاسوب

دولة الجامعة

فلسطين (الضفة الغربية)

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2016

الملخص الإنجليزي

This research studies heuristic search-based optimization of service compositions.

We have investigated applying Genetic Algorithms (GA) to optimize service-oriented architectures in terms of security goals and cost.

Service composition security risk is measured by implementing the aggregation rules from the local security risk values of the aggregated services in the composition.

We adapt the DREAD model for Security risk assessment by suggesting new categorizations for calculating DREAD factors based on a proposed service structure and service attributes.

We implemented the YAFA-SOA Optimizer as an extension of an existing implementation of the GA to solve multi-objective optimization problems for varying number of objectives in the context of service oriented architectures.

We conducted an experiment to investigate our Research Questions.

The experiment results showed that applying multi-objective GA is feasible to find the optimized security and cost in Service oriented architectures.

We were able to approve that adding security services to the generated composition reduces the risk severity of the generated composition and enhances its security in terms of confidentiality, integrity and availability (CIA).

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

129

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Background.

Chapter Three : Literature review.

Chapter Four : Research methodology.

Chapter Five : Conceptual model.

Chapter Six : Multiple objective GA implementation to optimize SOA.

Chapter Seven : Experiment.

Chapter Eight : Threats to validity.

Chapter Nine : Validation.

Chapter Ten : Conclusions and future works.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Radwan, Wafa. (2016). Optimizing security for software deployed on cloud environment using evolutionary search. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-762530

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Radwan, Wafa. Optimizing security for software deployed on cloud environment using evolutionary search. (Master's theses Theses and Dissertations Master). Birzeit University. (2016).
https://search.emarefa.net/detail/BIM-762530

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Radwan, Wafa. (2016). Optimizing security for software deployed on cloud environment using evolutionary search. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-762530

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-762530