@inproceedings{44cd8518613e48fb8cede94314b626b6,
title = "Indivertible elementary bilinear time-series models for data encryption",
abstract = "It has been shown that coefficients of indivertible elementary bilinear time-series models can be estimated with almost no bias. Moreover, the random processes obtained by simulation of such models are not correlated. Therefore, those features suggest a possibility of practical application of indivertible elementary time-series models for data encryption.",
keywords = "Bilinear models, Data encryption, Indivertible models, Time-series",
author = "{\L}ukasz Mali{\'n}ski",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; International Conference on Systems Science, ICSS 2013 ; Conference date: 10-09-2013 Through 12-09-2013",
year = "2014",
doi = "10.1007/978-3-319-01857-7\_72",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "757--763",
editor = "Jerzy {\'S}wi{\c a}tek and Adam Grzech and Pawe{\l} {\'S}wi{\c a}tek and Tomczak, \{Jakub M.\} and Jerzy {\'S}wi{\c a}tek",
booktitle = "Advances in Systems Science - Proceedings of the International Conference on Systems Science, ICSS 2013",
address = "Germany",
}