Original title: Cloud computing technology framework and reducing risks
Translated title: Cloud computing technology framework and reducing risks
Authors: Akrir, Khaled Ali Ahmed ; Havlíček, Zdeněk (advisor) ; Macák, Tomáš (referee)
Document type: Doctoral theses
Year: 2015
Language: cze
Publisher: Česká zemědělská univerzita v Praze
Abstract: The thesis investigates, in a qualitative way, the vectors that contribute to cloud computing risks in the areas of security, business, and compliance. The focus of this research is on the identification of risk vectors that affect cloud computing and the creation of a framework that can help IT managers in their cloud adoption process. Economic pressures on businesses are creating a demand for an alternative delivery of the model that can provide flexible payments, dramatic cuts in capital investment, and reductions in operational cost. Cloud computing is positioned to take advantage of these economic pressures with low cost IT services and a flexible payment model, but at what risk to the business? Security concerns about cloud computing are heightened and fueled by misconceptions related to security and compliance risks. Unfortunately, these security concerns are seldom, expressed quantifiably. To bring clarity to cloud computing security, compliance, and business risks, this research focuses on a qualitative analysis of risk vectors drawn from one-on-one interviews with top IT experts selected. The qualitative aspect of this research separates facts from unfounded suspicions, and creates a framework that can help align perceived risks of cloud computing with actual risks. The qualitative research was done through interviews with experts and through the survey to measure risk perceptions about cloud computing using a Likert scale. The decision-making model and the framework created by this research help to rationalize the risk vectors on cloud environments and recommend reducing strategies to bring the IT industry one step closer to a clearer understanding of the risks-tradeoffs implications of cloud computing environments.
Keywords: CBRF; CCRF; Cloud computing; CSRF

Institution: Czech University of Life Sciences Prague (web)
Document availability information: Available in the CZU repository.
Original record: https://is.czu.cz/zp/index.pl?podrobnosti_zp=211050

Permalink: http://www.nusl.cz/ntk/nusl-259675


The record appears in these collections:
Universities and colleges > Public universities > Czech University of Life Sciences Prague
Academic theses (ETDs) > Doctoral theses