Optimizing security for software deployed on cloud environment using evolutionary search
Other Title(s)
تحسين أمن البرمجيات التي تعمل في البيئة السحابية باستخدام الخوارزميات الجينية
Dissertant
Thesis advisor
Comitee Members
Sayyad, Abd al-Salam
Ammar, Nariman
University
Birzeit University
Faculty
Faculty of Engineering and Technology
Department
Department of Computer Science
University Country
Palestine (West Bank)
Degree
Master
Degree Date
2016
English Abstract
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).
Main Subjects
Information Technology and Computer Science
No. of Pages
129
Table of Contents
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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Language
English
Data Type
Arab Theses
Record ID
BIM-762530
