SECURING THE DATA STORAGE AND PROCESSING IN CLOUD COMPUTING ENVIRONMENT

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Owens, R. (2013). SECURING THE DATA STORAGE AND PROCESSING IN CLOUD COMPUTING ENVIRONMENT. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Organizations increasingly utilize cloud computing architectures to reduce costs and energy consumption both in the data warehouse and on mobile devices by better utilizing the computing resources available. However, the security and privacy issues with publicly available cloud computing infrastructures have not been studied to a sufficient depth for organizations and individuals to be fully informed of the risks; neither are private nor public clouds prepared to properly secure their connections as middle-men between mobile devices which use encryption and external data providers which neglect to encrypt their data. Furthermore, cloud computing providers are not well informed of the risks associated with policy and techniques they could implement to mitigate those risks.In this dissertation, we present a new layered understanding of public cloud computing. On the high level, we concentrate on the overall architecture and how information is processed and transmitted. The key idea is to secure information from outside attack and monitoring. We use techniques such as separating virtual machine roles, re-spawning virtual machines in high succession, and cryptography-based access control to achieve a high-level assurance of public cloud computing security and privacy. On the low level, we explore security and privacy issues on the memory management level. We present a mechanism for the prevention of automatic virtual machine memory guessing attacks.

Details
Author

Owens, Rodney

Title

SECURING THE DATA STORAGE AND PROCESSING IN CLOUD COMPUTING ENVIRONMENT

Physical Description

1 online resource (123 pages) : PDF

Date

2013

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Organizations increasingly utilize cloud computing architectures to reduce costs and energy consumption both in the data warehouse and on mobile devices by better utilizing the computing resources available. However, the security and privacy issues with publicly available cloud computing infrastructures have not been studied to a sufficient depth for organizations and individuals to be fully informed of the risks; neither are private nor public clouds prepared to properly secure their connections as middle-men between mobile devices which use encryption and external data providers which neglect to encrypt their data. Furthermore, cloud computing providers are not well informed of the risks associated with policy and techniques they could implement to mitigate those risks.In this dissertation, we present a new layered understanding of public cloud computing. On the high level, we concentrate on the overall architecture and how information is processed and transmitted. The key idea is to secure information from outside attack and monitoring. We use techniques such as separating virtual machine roles, re-spawning virtual machines in high succession, and cryptography-based access control to achieve a high-level assurance of public cloud computing security and privacy. On the low level, we explore security and privacy issues on the memory management level. We present a mechanism for the prevention of automatic virtual machine memory guessing attacks.

Genre

doctoral dissertations

Subjects--Topics

Information technology

Degree

Ph.D.

Keywords

Cloud Computing
Cloud Storage
De-Duplication
Mashup
Virtualization

Subject Area

Information Technology

Advisor(s)

Wang, Weichao

Committee Members

Wu, Xintao
Shehab, Mohamed
Chu, Bill
Zhao, Wei

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2013.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Owens_uncc_0694D_10441

Permalink

http://hdl.handle.net/20.500.13093/etd:1576