TinyECCK: Efficient elliptic curve cryptography implementation over GF(2(m)) on 8-bit Micaz mote
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Seog Chung | - |
dc.contributor.author | Han, Dong-Guk | - |
dc.contributor.author | Kim, Hyung Chan | - |
dc.contributor.author | Hong, Seokhie | - |
dc.date.accessioned | 2021-09-09T08:57:25Z | - |
dc.date.available | 2021-09-09T08:57:25Z | - |
dc.date.issued | 2008-05 | - |
dc.identifier.issn | 1745-1361 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/123667 | - |
dc.description.abstract | In this paper, we revisit a generally accepted opinion: implementing Elliptic Curve Cryptosystem (ECC) over GF(2(m)) on sensor motes using small word size is not appropriate because XOR multiplication over GF(2(m)) is not efficiently supported by current low-powered microprocessors. Although there are some implementations over GF(2(m)) on sensor motes, their performances are not satisfactory enough to be used for wireless sensor networks (WSNs). We have found that a field multiplication over GF(2(m)) are involved in a number of redundant memory accesses and its inefficiency is originated from this problem. Moreover, the field reduction process also requires many redundant memory accesses. Therefore, we propose some techniques for reducing unnecessary memory accesses. With the proposed strategies, the running time of field multiplication and reduction over GF(2(163)) can be decreased by 21.1% and 24.7%, respectively. These savings noticeably decrease execution times spent in Elliptic Curve Digital Signature Algorithm (ECDSA) operations (signing and verification) by around 15-19%. We present TinyECCK (Tiny Elliptic Curve Cryptosystem with Koblitz curve - a kind of TinyOS package supporting elliptic curve operations) which is the first implementation of Koblitz curve on sensor motes as far as we know. Through comparisons with existing software implementations of ECC built in C or hybrid of C and inline assembly on sensor motes, we show that TinyECCK outperforms them in terms of running time, code size, and supporting services. Furthermore, we show that a field multiplication over GF(2(m)) can be faster than that over GF(p) on 8-bit Atmega 128 processor by comparing TinyECCK with TinyECC, a well-known ECC implementation over GF(p). TinyECCK with sect163k1 can generate a signature and verify it in 1.37 and 2.32 sees on a Micaz mote with 13,748-byte of ROM and 1,004-byte of RAM. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | TinyECCK: Efficient elliptic curve cryptography implementation over GF(2(m)) on 8-bit Micaz mote | - |
dc.type | Article | - |
dc.publisher.location | 일본 | - |
dc.identifier.doi | 10.1093/ietisy/e91-d.5.1338 | - |
dc.identifier.scopusid | 2-s2.0-68149165367 | - |
dc.identifier.wosid | 000256860900014 | - |
dc.identifier.bibliographicCitation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E91D, no.5, pp 1338 - 1347 | - |
dc.citation.title | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.volume | E91D | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1338 | - |
dc.citation.endPage | 1347 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.subject.keywordAuthor | wireless sensor network | - |
dc.subject.keywordAuthor | Elliptic Curve Cryptosystem | - |
dc.subject.keywordAuthor | TinyOS | - |
dc.subject.keywordAuthor | Koblitz curve | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.