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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Scharfglass, K. Weng, D. White, J. Lupo, C. |
| Copyright Year | 2012 |
| Description | Author affiliation: Comput. Sci. Dept., California Polytech. State Univ., San Luis Obispo, CA, USA (Scharfglass, K.; Weng, D.; White, J.; Lupo, C.) |
| Abstract | An exploit involving the greatest common divisor (GCD) of RSA moduli was recently discovered [1]. This paper presents a tool that can efficiently and completely compare a large number of 1024-bit RSA public keys, and identify any keys that are susceptible to this weakness. NVIDIA's graphics processing units (GPU) and the CUDA massively-parallel programming model are powerful tools that can be used to accelerate this tool. Our method using CUDA has a measured performance speedup of 27.5 compared to a sequential CPU implementation, making it a more practical method to compare large sets of keys. A computation for finding GCDs between 200,000 keys, i.e., approximately 20 billion comparisons, was completed in 113 minutes, the equivalent of approximately 2.9 million 1024-bit GCD comparisons per second. |
| Starting Page | 207 |
| Ending Page | 212 |
| File Size | 235503 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769548791 |
| e-ISBN | 9780769548791 |
| DOI | 10.1109/PDCAT.2012.58 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Graphics processing units Instruction sets Arrays Organizations Public key Matrix decomposition Kernel parallel computation CUDA RSA greatest common divisor |
| Content Type | Text |
| Resource Type | Article |
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