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Authors: Katarzyna Kapusta 1 ; 2 and Gerard Memmi 1

Affiliations: 1 LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France ; 2 Thales SIX GTS France, ThereSIS, Palaiseau, France

Keyword(s): Data Fragmentation, Data Dispersal, Distributed Storage, Multi-storage, Cloud Storage Security, Key Exposure, Secret Sharing, All-or-Nothing, AONT, SAKE-secure.

Abstract: We introduce PE-AONT: a novel algorithm for very fast computational secret sharing scheme. The core idea of this scheme is to encrypt the data only partially before applying an all-or-nothing transform that will blend the encrypted and non-encrypted data. By doing this, we achieve much better performance than relevant techniques including straightforward encryption. To this regard, a performance benchmark is provided. Interestingly, when the ratio between the number of encrypted and non-encrypted fragments is wisely chosen, data inside fragments are protected against exposure of the encryption key unless all fragments are gathered by an attacker. Therefore, by choosing the right parameters, we can achieve key exposure protection, faster processing, and a better overall protection.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kapusta, K. and Memmi, G. (2022). PE-AONT: Partial Encryption All or Nothing Transform. In Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT; ISBN 978-989-758-590-6; ISSN 2184-7711, SciTePress, pages 636-641. DOI: 10.5220/0011300600003283

@conference{secrypt22,
author={Katarzyna Kapusta. and Gerard Memmi.},
title={PE-AONT: Partial Encryption All or Nothing Transform},
booktitle={Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT},
year={2022},
pages={636-641},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011300600003283},
isbn={978-989-758-590-6},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT
TI - PE-AONT: Partial Encryption All or Nothing Transform
SN - 978-989-758-590-6
IS - 2184-7711
AU - Kapusta, K.
AU - Memmi, G.
PY - 2022
SP - 636
EP - 641
DO - 10.5220/0011300600003283
PB - SciTePress