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Author: Michael Ekonde Sone

Affiliation: College of Technology, University of Buea, Buea, Cameroon

Keyword(s): McEliece Cryptosystem, Non-linear Convolutional Code, Product Cipher, Generator Matrix, FPGA.

Abstract: The paper reports development of a new version of the McEliece cryptosystem using non-linear convolutional codes. Cascaded convolutional codes are used to be part of the public key with each stage of the cascade separated by a product cipher to increase the security level. Cryptanalysis of the new version of the McEliece cryptosystem is performed using existing attacks of the classical cryptosystem to demonstrate the difficulties in breaking the new cryptosystem. It is shown that, security levels comparable to the original McEliece cryptosystem could be obtained by using smaller public key sizes of the new version if multiple stages of the generator matrix are employed. This aspect makes the new version of the McEliece cryptosystem attractive in mobile wireless networks since it could be ported onto a single Field Programmable Gate Array (FPGA).

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Paper citation in several formats:
Sone, M. (2020). FPGA-based McEliece Cryptosystem using Non-linear Convolutional Codes. In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT; ISBN 978-989-758-446-6; ISSN 2184-7711, SciTePress, pages 64-75. DOI: 10.5220/0009767000640075

@conference{secrypt20,
author={Michael Ekonde Sone.},
title={FPGA-based McEliece Cryptosystem using Non-linear Convolutional Codes},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT},
year={2020},
pages={64-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009767000640075},
isbn={978-989-758-446-6},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT
TI - FPGA-based McEliece Cryptosystem using Non-linear Convolutional Codes
SN - 978-989-758-446-6
IS - 2184-7711
AU - Sone, M.
PY - 2020
SP - 64
EP - 75
DO - 10.5220/0009767000640075
PB - SciTePress