article · 2021
Implementation of Traditional Transposition Cipher with Salting Principle
Mark Julius P. Tiozon, Jessie R. Paragas, Neil M. Pascual
Cited by 0Abstract and details only
Abstract
Transposition Cipher was the most often used conventional cipher in the early days because it was resistant to frequency analysis. The purpose of this study is to provide another way of encrypting information through transposition and substitution cipher with salting – which is a common method to hashing. The aim behind this cipher is to keep all the original letters while mixing them and keeping the total number of characters intact. Through series of simulations, the new algorithm is proven to eliminate the repetitive appearance of letters as compared to the existing ones. In addition, this strategy will be more secure when paired with another algorithm to make a hybrid technique.
Cite this paper
Tiozon, M. J. P., Paragas, J. R., & Pascual, N. M. (2021). Implementation of Traditional Transposition Cipher with Salting Principle. https://doi.org/10.1109/icracos53680.2021.9702062
Tiozon, Mark Julius P., et al. “Implementation of Traditional Transposition Cipher with Salting Principle.” vol. 3, 2021, pp. 175–78, https://doi.org/10.1109/icracos53680.2021.9702062.
Tiozon, Mark Julius P., Jessie R. Paragas, and Neil M. Pascual. 2021. “Implementation of Traditional Transposition Cipher with Salting Principle.” https://doi.org/10.1109/icracos53680.2021.9702062.
Tiozon, M.J.P., Paragas, J.R. and Pascual, N.M. (2021) ‘Implementation of Traditional Transposition Cipher with Salting Principle’. Available at: https://doi.org/10.1109/icracos53680.2021.9702062.
@article{tiozon2021implementation,
title = {{Implementation of Traditional Transposition Cipher with Salting Principle}},
author = {Tiozon, Mark Julius P. and Paragas, Jessie R. and Pascual, Neil M.},
volume = {3},
pages = {175--178},
year = {2021},
doi = {10.1109/icracos53680.2021.9702062}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.