Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization

ABSTRACT: This work proposes a new cryptosystem, combining a Diffie-Hellman protocol in which hyperelliptic curves over GF(2n) are implemented, with a Tree Parity Machine (TPM) synchronization. Security proposed for this cryptosystem is focused on overcoming a weakness of neuronal synchronization. S...

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Autores principales: Araya Villanueva,Angelo, Jiron Araya,Ivan, Soto Gomez,Ismael
Lenguaje:English
Publicado: Universidad de Tarapacá. 2018
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052018000500006
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spelling oai:scielo:S0718-330520180005000062018-12-10Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural SynchronizationAraya Villanueva,AngeloJiron Araya,IvanSoto Gomez,Ismael Cryptography Hyperelliptic Curves Neural Synchronization ABSTRACT: This work proposes a new cryptosystem, combining a Diffie-Hellman protocol in which hyperelliptic curves over GF(2n) are implemented, with a Tree Parity Machine (TPM) synchronization. Security proposed for this cryptosystem is focused on overcoming a weakness of neuronal synchronization. Specifically, the stimulus vector that is public, which allows an attacker to try to synchronize with one of the participants of the synchronization. Focusing on this weakness, there are the following attacks: genetic attack, geometric attack and probabilistic attack. In the proposed cryptosystem, the initial stimulus vector will be hidden, because this vector is obtained as the common secret key in the Diffie-Hellman protocol. Then in each iteration, the stimulus vectors will be kept secret. This condition causes the learning time tlear to increase by a term of approximately 115% regarding the synchronization time tsync on average when the proposed cryptosystem is compared to the classic TPM synchronization.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.26 suppl.1 20182018-11-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052018000500006en10.4067/S0718-33052018000500006
institution Scielo Chile
collection Scielo Chile
language English
topic Cryptography
Hyperelliptic Curves
Neural Synchronization
spellingShingle Cryptography
Hyperelliptic Curves
Neural Synchronization
Araya Villanueva,Angelo
Jiron Araya,Ivan
Soto Gomez,Ismael
Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization
description ABSTRACT: This work proposes a new cryptosystem, combining a Diffie-Hellman protocol in which hyperelliptic curves over GF(2n) are implemented, with a Tree Parity Machine (TPM) synchronization. Security proposed for this cryptosystem is focused on overcoming a weakness of neuronal synchronization. Specifically, the stimulus vector that is public, which allows an attacker to try to synchronize with one of the participants of the synchronization. Focusing on this weakness, there are the following attacks: genetic attack, geometric attack and probabilistic attack. In the proposed cryptosystem, the initial stimulus vector will be hidden, because this vector is obtained as the common secret key in the Diffie-Hellman protocol. Then in each iteration, the stimulus vectors will be kept secret. This condition causes the learning time tlear to increase by a term of approximately 115% regarding the synchronization time tsync on average when the proposed cryptosystem is compared to the classic TPM synchronization.
author Araya Villanueva,Angelo
Jiron Araya,Ivan
Soto Gomez,Ismael
author_facet Araya Villanueva,Angelo
Jiron Araya,Ivan
Soto Gomez,Ismael
author_sort Araya Villanueva,Angelo
title Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization
title_short Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization
title_full Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization
title_fullStr Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization
title_full_unstemmed Diffie-Hellman Protocol with a Combination of Hyperelliptic Curves and Neural Synchronization
title_sort diffie-hellman protocol with a combination of hyperelliptic curves and neural synchronization
publisher Universidad de Tarapacá.
publishDate 2018
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052018000500006
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AT jironarayaivan diffiehellmanprotocolwithacombinationofhyperellipticcurvesandneuralsynchronization
AT sotogomezismael diffiehellmanprotocolwithacombinationofhyperellipticcurvesandneuralsynchronization
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