Systematic design of RSA processors based on high-radix montgomery multipliers

Atsushi Miyamoto, Naofumi Homma, Takafumi Aoki, Akashi Satoh

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

This paper presents a systematic design approach to provide the optimized RivestShamirAdleman (RSA) processors based on high-radix Montgomery multipliers satisfying various user requirements, such as circuit area, operating time, and resistance against side-channel attacks. In order to involve the tradeoff between the performance and the resistance, we apply four types of exponentiation algorithms: two variants of the binary method with/without Chinese Remainder Theorem (CRT). We also introduces three multiplier-based datapath-architectures using different intermediate data forms: 1) single form, 2) semi carry-save form, and 3) carry-save form, and combined them with a wide variety of arithmetic components. Their radices are parameterized from 2 8 to 2128. A total of 242 datapaths for 1024-bit RSA processors were obtained for each radix. The potential of the proposed approach is demonstrated through an experimental synthesis of all possible processors with a 90-nm CMOS standard cell library. As a result, the smallest design of 861 gates with 118.47 ms/RSA to the fastest design of 0.67 ms/RSA at 153 862 gates were obtained. In addition, the use of the CRT technique reduced the RSA operation time of the fastest design to 0.24 ms. Even if we employed the exponentiation algorithm resistant to typical side-channel attacks, the fastest design can perform the RSA operation in less than 1.0 ms.

Original languageEnglish
Article number5497217
Pages (from-to)1136-1146
Number of pages11
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume19
Issue number7
DOIs
Publication statusPublished - 2011 Jul

Keywords

  • Application-specific integrated circuit (ASIC) implementation
  • Rivest-Shamir-Adleman (RSA) cryptosystem
  • high-radix Montgomery multiplication

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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