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Authors: Kaito Uemura and Satoshi Obana

Affiliation: Hosei University, Tokyo, Japan

Keyword(s): Public-key Encryption with Keyword Search, Keyword Guessing Attack, Key Exposure Resiliency, Key Update.

Abstract: Public-key Encryption with Keyword Search (PEKS), proposed by Boneh et al. in 2004, is a cryptographic primitive that enables keyword search over encrypted data. The crucial issue of PEKS is that many existing PEKS do not guarantee security against Keyword Guessing Attack (KGA). Moreover, if a key exposure occurs, PEKS cannot ensure secrecy of the ciphertext entrusted to the server. In this paper, we propose two Exposure Resilient Public-Key Encryption with Keyword Search against KGA. The proposed schemes guarantee security against KGA by slightly modifying the search process of PEKS so that it cannot be executed without the server’s secret key. Furthermore, the damage of key exposure is minimized by periodically updating the key. The second scheme even tolerates corruption of a server, which is realized by dividing the power of a single server into two separate servers.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Uemura, K. and Obana, S. (2021). Exposure Resilient Public-key Encryption with Keyword Search against Keyword Guessing Attack. In Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT; ISBN 978-989-758-524-1; ISSN 2184-7711, SciTePress, pages 692-697. DOI: 10.5220/0010548006920697

@conference{secrypt21,
author={Kaito Uemura and Satoshi Obana},
title={Exposure Resilient Public-key Encryption with Keyword Search against Keyword Guessing Attack},
booktitle={Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT},
year={2021},
pages={692-697},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010548006920697},
isbn={978-989-758-524-1},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT
TI - Exposure Resilient Public-key Encryption with Keyword Search against Keyword Guessing Attack
SN - 978-989-758-524-1
IS - 2184-7711
AU - Uemura, K.
AU - Obana, S.
PY - 2021
SP - 692
EP - 697
DO - 10.5220/0010548006920697
PB - SciTePress

- Science and Technology Publications, Lda.
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