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A Reference Model to Support Risk Identification in Cloud Networks

Title data

Keller, Robert ; König, Christian:
A Reference Model to Support Risk Identification in Cloud Networks.
In: Myers, Michael D. ; Straub, Dietmar W. (ed.): 35th International Conference on Information Systems, ICIS 2014 : Proceedings ; Building a Better World through Information Systems. - s.l. : Association for Information Systems , 2014 . - 20 S.
ISBN 978-0-615-15788-7

Official URL: Volltext

Abstract in another language

The rising adoption of cloud computing and increasing interconnections among its actors lead to the emergence of network-like structures and new associated risks. A major obstacle for addressing these risks is the lack of transparency concerning the underlying network structure and the dissemination of risks therein. Existing research does not consider the risk perspective in a cloud network’s context. We address this research gap with the construction of a reference model that can display such networks and therefore supports risk identification. We evaluate the reference model through real-world examples and interviews with industry experts and demonstrate its applicability. The model provides a better understanding of cloud networks and causalities between related risks. These insights can be used to develop appropriate risk management strategies in cloud networks. The reference model sets a basis for future risk quantification approaches as well as for the design of (IT) tools for risk analysis.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Cloud computing; Cloud Networks; Risk Identification; Reference Model;
Taxonom
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors > Professor Information Systems and Sustainable IT Management - Univ.-Prof. Dr. Gilbert Fridgen
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 08 Apr 2015 06:38
Last Modified: 11 Apr 2022 08:54
URI: https://eref.uni-bayreuth.de/id/eprint/8161