Doctoral Dissertations
Keywords and Phrases
Attack Graphs; Cloud Computing; Security Risk Assessment; Sensitivity Analysis; Sensor Cloud; Variable Security Preferences
Abstract
"Cyber security is one of the primary concerns persistent across any computing platform. While addressing the apprehensions about security risks, an infinite amount of resources cannot be invested in mitigation measures since organizations operate under budgetary constraints. Therefore the task of performing security risk assessment is imperative to designing optimal mitigation measures, as it provides insight about the strengths and weaknesses of different assets affiliated to a computing platform.
The objective of the research presented in this dissertation is to improve upon existing risk assessment frameworks and guidelines associated to different key assets of Cloud computing domains - infrastructure, applications, and users. The dissertation presents various informal approaches of performing security risk assessment which will help to identify the security risks confronted by the aforementioned assets, and utilize the results to carry out the required cost-benefit tradeoff analyses. This will be beneficial to organizations by aiding them in better comprehending the security risks their assets are exposed to and thereafter secure them by designing cost-optimal mitigation measures"--Abstract, page iv.
Advisor(s)
Madria, Sanjay Kumar
Committee Member(s)
Das, Sajal K.
Jiang, Wei
Silvestri, Simone
Sarangapani, Jagannathan, 1965-
Department(s)
Computer Science
Degree Name
Ph. D. in Computer Science
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2018
Journal article titles appearing in thesis/dissertation
- Risk assessment in a sensor cloud framework using attack graphs
- Offline risk assessment of cloud service provider
- Sensitivity analysis of a cloud migration framework for offline risk assessment of CSPS
- Data analysis of cloud security alliance's security, trust and assurance registry
- Design phase risk assessment of applications using cloud security domains
- A secure user-centric framework for service provisioning in IOT environments
Pagination
xvi, 231 pages
Note about bibliography
Includes bibliographic references.
Rights
© 2018 Amartya Sen, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 11724
Electronic OCLC #
1164805368
Recommended Citation
Sen, Amartya, "Security risk assessment in cloud computing domains" (2018). Doctoral Dissertations. 2897.
https://scholarsmine.mst.edu/doctoral_dissertations/2897