Evolutionary algorithms with and without adaptive mutation in AI based cryptography

Evolutionary algorithms with and without adaptive mutation in AI based cryptography

The key role of cryptography is to make cipher so hard to reproduce without knowing all the details that no one besides the recipient could decipher the message. Those algorithms which are used nowadays gets its security mostly from highly reliable algorithms and/or complicated cryptographic keys. U...

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Bibliographic Details
Main Author: Tybura Mateusz
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20182100008
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spelling doaj-5f36c6c5418c4d8cac78947ffdb32a2e2021-02-02T07:02:04ZengEDP SciencesITM Web of Conferences2271-20972018-01-01210000810.1051/itmconf/20182100008itmconf_cst2018_00008Evolutionary algorithms with and without adaptive mutation in AI based cryptographyTybura Mateusz0Rzeszow University of Technology, Faculty of Electrical and Computer EngineeringThe key role of cryptography is to make cipher so hard to reproduce without knowing all the details that no one besides the recipient could decipher the message. Those algorithms which are used nowadays gets its security mostly from highly reliable algorithms and/or complicated cryptographic keys. Unfortunately, those human-made methods aren‘t invulnerable so sooner or later they compromise. So, it could be really useful to make a cipher which could change. But currently only neural networks are capable of thing known as transfer learning. In this article similar method was proposed in order to make it possible to re-learn already established evolutionary algorithm to do new, similar task.https://doi.org/10.1051/itmconf/20182100008
collection DOAJ
language English
format Article
sources DOAJ
author Tybura Mateusz
spellingShingle Tybura Mateusz
Evolutionary algorithms with and without adaptive mutation in AI based cryptography
ITM Web of Conferences
author_facet Tybura Mateusz
author_sort Tybura Mateusz
title Evolutionary algorithms with and without adaptive mutation in AI based cryptography
title_short Evolutionary algorithms with and without adaptive mutation in AI based cryptography
title_full Evolutionary algorithms with and without adaptive mutation in AI based cryptography
title_fullStr Evolutionary algorithms with and without adaptive mutation in AI based cryptography
title_full_unstemmed Evolutionary algorithms with and without adaptive mutation in AI based cryptography
title_sort evolutionary algorithms with and without adaptive mutation in ai based cryptography
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2018-01-01
description The key role of cryptography is to make cipher so hard to reproduce without knowing all the details that no one besides the recipient could decipher the message. Those algorithms which are used nowadays gets its security mostly from highly reliable algorithms and/or complicated cryptographic keys. Unfortunately, those human-made methods aren‘t invulnerable so sooner or later they compromise. So, it could be really useful to make a cipher which could change. But currently only neural networks are capable of thing known as transfer learning. In this article similar method was proposed in order to make it possible to re-learn already established evolutionary algorithm to do new, similar task.
url https://doi.org/10.1051/itmconf/20182100008
work_keys_str_mv AT tyburamateusz evolutionaryalgorithmswithandwithoutadaptivemutationinaibasedcryptography
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