Evidence map›Paper›PMID 32927594›Full record

ArticleSensors (Basel, Switzerland)2020

Design and Implementation of High-Performance ECC Processor with Unified Point Addition on Twisted Edwards Curve.

Md Mainul Islam, Md Selim Hossain, Moh Khalid Hasan, Md Shahjalal, Yeong Min Jang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Md Mainul IslamDepartment of Electronics Engineering, Kookmin University, Seoul 02707, Korea.ORCID 0000-0002-9686-5994
Md Selim HossainDepartment of Electrical and Electronic Engineering, Khulna University of Engineering & Technology (KUET), Khulna 9203, Bangladesh.ORCID 0000-0003-3754-3618
Moh Khalid HasanDepartment of Electronics Engineering, Kookmin University, Seoul 02707, Korea.ORCID 0000-0002-7773-3523
Md ShahjalalDepartment of Electronics Engineering, Kookmin University, Seoul 02707, Korea.ORCID 0000-0002-4876-6860
Yeong Min JangDepartment of Electronics Engineering, Kookmin University, Seoul 02707, Korea.ORCID 0000-0002-9963-303X

Funding

Institute for Information and Communications Technology Promotion IITP-2018-0-01396
6 · The paper itself

Abstract

With the swift evolution of wireless technologies, the demand for the Internet of Things (IoT) security is rising immensely. Elliptic curve cryptography (ECC) provides an attractive solution to fulfill this demand. In recent years, Edwards curves have gained widespread acceptance in digital signatures and ECC due to their faster group operations and higher resistance against side-channel attacks (SCAs) than that of the Weierstrass form of elliptic curves. In this paper, we propose a high-speed, low-area, simple power analysis (SPA)-resistant field-programmable gate array (FPGA) implementation of ECC processor with unified point addition on a twisted Edwards curve, namely Edwards25519. Efficient hardware architectures for modular multiplication, modular inversion, unified point addition, and elliptic curve point multiplication (ECPM) are proposed. To reduce the computational complexity of ECPM, the ECPM scheme is designed in projective coordinates instead of affine coordinates. The proposed ECC processor performs 256-bit point multiplication over a prime field in 198,715 clock cycles and takes 1.9 ms with a throughput of 134.5 kbps, occupying only 6543 slices on Xilinx Virtex-7 FPGA platform. It supports high-speed public-key generation using fewer hardware resources without compromising the security level, which is a challenging requirement for IoT security.

Indexed as

elliptic curve cryptography (ECC)elliptic curve point multiplication (ECPM)simple power analysis (SPA) attackstwisted Edwards curveunified point addition

Identifiers

PMID32927594
PMCPMC7571177

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.