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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saxena, S. Kapoor, B. |
| Copyright Year | 2014 |
| Description | Author affiliation: Chitkara Univ., Barotiwala, India (Saxena, S.; Kapoor, B.) |
| Abstract | Public-key infrastructure based cryptographic algorithms are usually considered as slower than their corresponding symmetric key based algorithms due to their root in modular arithmetic. In the RSA public-key security algorithm, the encryption and decryption is entirely based on modular exponentiation and modular reduction which are performed on very large integers, typically 1024 bits. Due to this reason the sequential implementation of RSA becomes compute-intensive and takes lot of time and energy to execute. Moreover, it is very difficult to perform intense modular computations on very large integers because of the limitation in size of basic data types available with GCC infrastructure. In this paper, we are looking into the possibility of improving the performance of proposed parallel RSA algorithm by using two different techniques simultaneously, first implementing modular calculations on larger integers using GMP library and second by parallelizing it using OpenMP on the GCC infrastructure. We have also analyzed the performance gained by comparing the sequential version with the parallel versions of RSA running on the GCC infrastructure. |
| Sponsorship | IEEE India Counc. C Chapt. |
| Starting Page | 850 |
| Ending Page | 854 |
| File Size | 148516 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479925728 |
| DOI | 10.1109/IAdCC.2014.6779433 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-02-21 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision support systems parallel computation RSA Handheld computers Conferences Open MP GCC infrastructure GMP Library Public key algorithm |
| Content Type | Text |
| Resource Type | Article |
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