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ERIC Number: ED553902
Record Type: Non-Journal
Publication Date: 2013
Pages: 215
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-3031-1870-8
ISSN: N/A
Cloud Privacy Audit Framework: A Value-Based Design
Coss, David Lewis
ProQuest LLC, Ph.D. Dissertation, Virginia Commonwealth University
The rapid expansion of cloud technology provides enormous capacity, which allows for the collection, dissemination and re-identification of personal information. It is the cloud's resource capabilities such as these that fuel the concern for privacy. The impetus of these concerns are not to far removed from those expressed by Mason in 1986 when he identified privacy as one of the biggest ethical issues facing the information age. There seems to be continuous ebb and flow relationship with respect to privacy concerns and the development of new information communication technologies such as cloud computing. Privacy issues are a concern to all types of stakeholders in the cloud. An individual using the cloud is exposed to privacy threats when they are persuaded to provide personal information unwantedly. An Organization using a cloud service is at risk of non-compliance to internal privacy policies or legislative privacy regulations. The cloud service provider has a privacy risk of legal liability and credibility concerns if sensitive information is exposed. The data subject is at risk of having personal information exposed. In essence everyone who is involved in cloud computing has some level of privacy risk that needs to be evaluated before, during and after they or an organization they interact with adopts a cloud technology solution. This resonates a need for organizations to develop privacy practices that are socially responsible towards the protection of their stakeholders' information privacy. This research is about understanding the relationship between individual values and their privacy objectives. There is a lack of clarity in organizations as to what individuals consider privacy to be. Therefore, it is important to understand individual's privacy values. Individuals seem to have divergent perspectives on the nature and scope of how their personal information is to be kept private in different modes of technologies. This study is concerned with identifying individual privacy objectives for cloud computing. We argue that privacy is an elusive concept due to the evolving relationship between technology and privacy. The motivation for this research stems from a concern that the notion of privacy is disappearing as technology becomes more pervasive. Understanding and identifying individuals' privacy objectives is important step in the process of protecting privacy in cloud computing environments. The aim of this study is to identify individual privacy values and develop cloud privacy objectives, which can be used to design a privacy audit for cloud computing environments. We Keeney's (1992) value focused thinking approach to identify individual privacy values with respect to emerging cloud technologies and to develop an understanding of how cloud privacy objectives are shaped by individual's privacy values. We discuss each objective and how they relate to privacy concerns in cloud computing. We also use the cloud privacy objectives in a design science study to design a cloud privacy audit framework. We then discuss the how this research helps privacy managers develop a cloud privacy strategy, evaluate cloud privacy practices and develop a cloud privacy audit to ensure privacy. Lastly future research from our findings is proposed. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A