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http://hdl.handle.net/11375/13196
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DC Field | Value | Language |
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dc.contributor.advisor | Soltys, Michael | en_US |
dc.contributor.author | Rakas, Dragan | en_US |
dc.date.accessioned | 2014-06-18T17:03:07Z | - |
dc.date.available | 2014-06-18T17:03:07Z | - |
dc.date.created | 2013-06-17 | en_US |
dc.date.issued | 2013-10 | en_US |
dc.identifier.other | opendissertations/8017 | en_US |
dc.identifier.other | 8942 | en_US |
dc.identifier.other | 4233503 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/13196 | - |
dc.description.abstract | <p>Fully homomorphic encryption allows computations to be made on encrypted data without decryption, while preserving data integrity. This feature is desirable in a variety of applications such as banking, search engine and database querying, and some cloud computing services. Despite not knowing the plaintext content of the data, a remote server performing the computation would still be aware of the functions being applied to the data. To address the issue, this thesis proposes a method of encrypting circuits and executing encrypted instructions, by combining fully homomorphic encryption and digital logic theory. We use the classic RISC Archtecture as a foundation of our work, and the result of our algorithm is essentially an encrypted programming language, where a remote server is capable of executing program code that was written and encrypted by a local client.</p> | en_US |
dc.subject | homomorphic encryption | en_US |
dc.subject | assembly language | en_US |
dc.subject | implementation | en_US |
dc.subject | proof of concept | en_US |
dc.subject | circuit evaluation | en_US |
dc.subject | simulating circuits | en_US |
dc.title | A Proof of Concept for Homomorphically Evaluating an Encrypted Assembly Language | en_US |
dc.type | thesis | en_US |
dc.contributor.department | Computer Science | en_US |
dc.description.degree | Master of Science (MS) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 690.62 kB | Adobe PDF | View/Open |
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