Static analysis and program transformation for secure computation on the cloud

Authors
Dong, Yao
ORCID
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Other Contributors
Milanova, Ana
Adali, Sibel
Krishnamoorthy, M. S.
Dolby, Julian
Issue Date
2017-12
Keywords
Computer science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
In the past decade, cloud computing service has become very popular and been widely studied and used in both academia and industry. The advantages of cloud computing model are obvious: high computation power, low cost of service, and ease of deployment and maintenance. Typically, customers upload data and/or application programs to cloud service platforms. However, as cloud service platforms are usually public and open to all customers, private data on the cloud faces severe security challenges in the process of computation, storage and communication. Data breach can cause significant and irreversible losses to individuals and organizations. As a result, cloud data security has become an increasingly important and attractive topic for cloud service customers, system architects, software developers, and researchers.
Description
December 2017
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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