Armstrong, Andrew J.
(2017)
Exploiting Memory Hardware for Use in Cryptographic Operations.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Recent data breaches have motivated a desire to remove all trust storage platforms (e.g., the cloud). To this end, research has focused on implementing cryptographic access controls on untrusted storage platforms. However, there are issues with the feasibility of implementing such controls, particularly when revocation (i.e., a user losing permission) occurs. This thesis investigates the opportunity to increase the viability of these systems by exploiting new functionality in emerging main memory technology. Technology such as the Hybrid Memory Cube possess the ability to perform certain computations in-memory, without reading data into the CPU. This thesis focuses on implementing a re-encryption scheme, called keystream re-encryption, that computes a stream of key material that can be XOR-ed in-memory to re-encrypt a file, without ever bringing the contents of that file into the CPU. We show that keystream re-encryption can produce 5-10% improvements in Instructions Per Cycle (IPC), while also increasing throughput by 18% and reducing energy consumption by 44-65%.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Armstrong, Andrew J. | aja37@pitt.edu | aja37 | |
|
| ETD Committee: |
| Title | Member | Email Address | Pitt Username | ORCID |
|---|
| Committee Chair | Lee, Adam J. | | | | | Committee Member | Childers, Bruce | | | | | Committee Member | Mossé, Daniel | | | |
|
| Date: |
20 January 2017 |
| Date Type: |
Publication |
| Defense Date: |
8 December 2016 |
| Approval Date: |
20 January 2017 |
| Submission Date: |
9 December 2016 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
47 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Dietrich School of Arts and Sciences > Computer Science |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
In-memory computation
In-memory cryptography |
| Date Deposited: |
20 Jan 2017 14:12 |
| Last Modified: |
21 Jan 2017 06:15 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/30532 |
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