椭圆曲线数字签名算法
椭圆曲线密码
计算机科学
算法
背景(考古学)
密码学
椭圆曲线
三重定向Doche–Icart–Kohel曲线
曲线25519
数字信号运算法则
椭圆曲线点乘
密钥大小
理论计算机科学
公钥密码术
数学
计算机安全
加密
古生物学
数学分析
生物
作者
Diana Maimuţ,Alexandru Cristian Matei
出处
期刊:Mathematics
[MDPI AG]
日期:2022-10-07
卷期号:10 (19): 3676-3676
被引量:9
摘要
In recent decades there has been an increasing interest in Elliptic curve cryptography (ECC) and, especially, the Elliptic Curve Digital Signature Algorithm (ECDSA) in practice. The rather recent developments of emergent technologies, such as blockchain and the Internet of Things (IoT), have motivated researchers and developers to construct new cryptographic hardware accelerators for ECDSA. Different types of optimizations (either platform dependent or algorithmic) were presented in the literature. In this context, we turn our attention to ECC and propose a new method for generating ECDSA moduli with a predetermined portion that allows one to double the speed of Barrett’s algorithm. Moreover, we take advantage of the advancements in the Artificial Intelligence (AI) field and bring forward an AI-based approach that enhances Schoof’s algorithm for finding the number of points on an elliptic curve in terms of implementation efficiency. Our results represent algorithmic speed-ups exceeding the current paradigm as we are also preoccupied by other particular security environments meeting the needs of governmental organizations.
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