Description
Corporations invest considerable resources to create, preserve and analyze
their data; yet while organizations are interested in protecting against
unauthorized data transfer, there lacks a comprehensive metric to discriminate
what data are at risk of leaking.
This thesis motivates the need for a quantitative leakage risk metric, and
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Details
Contributors
- Wright, Jeremy (Author)
- Syrotiuk, Violet (Thesis advisor)
- Davulcu, Hasan (Committee member)
- Yau, Stephen (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2014
Resource Type
Collections this item is in
Note
- Partial requirement for: M.S., Arizona State University, 2014Note typethesis
- Includes bibliographical references (p. 43-46)Note typebibliography
- Field of study: Computer science
Citation and reuse
Statement of Responsibility
by Jeremy Wright