Implementation of RSA Signatures on GPU and CPU Architectures
This paper reports a constant-time CPU and GPU software implementation of the RSA exponentiation by using algorithms that offer a first-line defense against timing and cache attacks. In the case of GPU platforms the modular arithmetic layer was implemented using the Residue Number System (RNS) repre...
Main Authors: | Eduardo Ochoa-Jimenez, Luis Rivera-Zamarripa, Nareli Cruz-Cortes, Francisco Rodriguez-Henriquez |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8949525/ |
Similar Items
-
Wykorzystanie CPU i GPU do obliczeń w Matlabie
by: Jarosław Woźniak
Published: (2019-03-01) -
Two novel cache management mechanisms on CPU-GPU heterogeneous processors
by: Huijing Yang, et al.
Published: (2021-06-01) -
A framework for efficient execution on GPU and CPU+GPU systems
by: Dollinger, Jean-François
Published: (2015) -
A New LSB Attack on Special-Structured RSA Primes
by: Amir Hamzah Abd Ghafar, et al.
Published: (2020-05-01) -
Performance Analysis of kNN on large datasets using CUDA & Pthreads : Comparing between CPU & GPU
by: Kankatala, Sriram
Published: (2015)