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Efficient Private Data Outsourcing

Steele, Aaron M.

Abstract Details

2011, Master of Computer Science, Miami University, Computer Science and Software Engineering.
Data outsourcing provides companies a cost effective method for their data to be stored, managed, and maintained by a third-party. Data outsourcing offers many economical benefits, but also introduces several privacy concerns. Many solutions have been proposed for maintaining privacy while outsourcing data. We propose a method that can maintain a similar level of privacy while improving upon query performance of previous solutions. Our scheme is based upon the assumption that the data owner possesses a small amount of secure local storage, which can be used as a pseudo-index table. The indexing structure can significantly increase query performance for selection queries involving conjunctions. We also offer approaches for approximations the required storage and provide experimental analysis of both the indexing structure performance and storage approximations.
Keith Frikken, PhD (Advisor)
William Brinkman, PhD (Committee Member)
Lukasz Opyrchal, PhD (Committee Member)

Recommended Citations

Citations

  • Steele, A. M. (2011). Efficient Private Data Outsourcing [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1313511456

    APA Style (7th edition)

  • Steele, Aaron. Efficient Private Data Outsourcing. 2011. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1313511456.

    MLA Style (8th edition)

  • Steele, Aaron. "Efficient Private Data Outsourcing." Master's thesis, Miami University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1313511456

    Chicago Manual of Style (17th edition)