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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Krishnamurthy, A. Yiyan Tang Xu, C. Yuke Wang |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Comput. Sci., Texas Univ. at Dallas, Richardson, TX, USA (Krishnamurthy, A.; Yiyan Tang; Xu, C.; Yuke Wang) |
| Abstract | The Rivest, Shamir and Adleman (1978) RSA algorithmis a popular cryptography algorithm widely used in signing and encrypting operations for security systems. Generally, the software implementations of the RSA algorithm are based on 2-prime RSA. The multi-prime RSA has been proposed to speed up RSA implementations. Both 2-prime and multi-prime implementations require squaring reduction and multiplication reduction of multi-precision integers. The Montgomery (1985) reduction algorithm is the most efficient for the squaring and multiplication reductions. We present a new method to implement the Montgomery squaring reduction, which speeds up squaring reduction by 10-15% for various key sizes. Furthermore, a multi-prime 1024-bit RSA signing operation is implemented on the TI TMS320C6201 DSP processor with the new reduction method. As a result, the signing operation can be finished within 6 ms, which is about twice faster than the RSA implementation of Itoh, Takenaka, Torii, Temma and Kurihara (see Proc. of CHES'99, p.61-71, 1999) on the same DSP platform. |
| Sponsorship | IEEE Signal Process, Soc |
| File Size | 278532 |
| File Format | |
| ISBN | 0780376633 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2003.1202387 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Digital signal processing Public key cryptography Cathode ray tubes Authentication Computer science Computer security Software systems Software algorithms Telecommunication traffic Postal services |
| Content Type | Text |
| Resource Type | Article |
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