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  1. 論文誌(ジャーナル)
  2. Vol.65
  3. No.9

Big Data-based Authenticated Key Exchange Resilient to Ephemeral Key Leakage without Random Oracles

https://ipsj.ixsq.nii.ac.jp/records/239358
https://ipsj.ixsq.nii.ac.jp/records/239358
7dcf7392-d800-426b-a751-0974e4938701
名前 / ファイル ライセンス アクション
IPSJ-JNL6509004.pdf IPSJ-JNL6509004.pdf (594.6 kB)
 2026年9月15日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥0, IPSJ:学会員:¥0, 論文誌:会員:¥0, DLIB:会員:¥0
Item type Journal(1)
公開日 2024-09-15
タイトル
タイトル Big Data-based Authenticated Key Exchange Resilient to Ephemeral Key Leakage without Random Oracles
タイトル
言語 en
タイトル Big Data-based Authenticated Key Exchange Resilient to Ephemeral Key Leakage without Random Oracles
言語
言語 eng
キーワード
主題Scheme Other
主題 [特集:サプライチェーンを安全にするサイバーセキュリティ技術] authenticated key exchange, server compromise impersonation resilience, bounded-retrieval model, big data, post-quantum
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Ibaraki University/Presently with Canon Inc.
著者所属
Ibaraki University
著者所属(英)
en
Ibaraki University / Presently with Canon Inc.
著者所属(英)
en
Ibaraki University
著者名 Ren, Ishibashi

× Ren, Ishibashi

Ren, Ishibashi

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Kazuki, Yoneyama

× Kazuki, Yoneyama

Kazuki, Yoneyama

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著者名(英) Ren, Ishibashi

× Ren, Ishibashi

en Ren, Ishibashi

Search repository
Kazuki, Yoneyama

× Kazuki, Yoneyama

en Kazuki, Yoneyama

Search repository
論文抄録
内容記述タイプ Other
内容記述 Authenticated Key Exchange (AKE) is a cryptographic protocol to share a common session key among multiple parties. At ISC 2021, Liu, Tang, and Zhou proposed a modular multi-factor AKE framework resilient to a characteristic attack called server compromise impersonation based on big data in the bounded-retrieval model and concrete post-quantum big data-based AKE schemes. They also formulated a security model (LTZ model) that captures perfect forward secrecy, key compromise impersonation, and server compromise impersonation. However, the LTZ model does not consider the compromise of ephemeral secret keys, and their schemes rely on the random oracle model. In this paper, we extend the LTZ model (LTZ-eCK model) to capture the compromise of ephemeral secret keys and propose a generic construction of big data-based AKE resilient to both server compromise impersonation and ephemeral key leakage in the standard model. Our generic construction allows us to achieve the post-quantum big data-based AKE scheme (from isogenies, lattice, etc.) in the LTZ-eCK model without random oracles.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.690
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 Authenticated Key Exchange (AKE) is a cryptographic protocol to share a common session key among multiple parties. At ISC 2021, Liu, Tang, and Zhou proposed a modular multi-factor AKE framework resilient to a characteristic attack called server compromise impersonation based on big data in the bounded-retrieval model and concrete post-quantum big data-based AKE schemes. They also formulated a security model (LTZ model) that captures perfect forward secrecy, key compromise impersonation, and server compromise impersonation. However, the LTZ model does not consider the compromise of ephemeral secret keys, and their schemes rely on the random oracle model. In this paper, we extend the LTZ model (LTZ-eCK model) to capture the compromise of ephemeral secret keys and propose a generic construction of big data-based AKE resilient to both server compromise impersonation and ephemeral key leakage in the standard model. Our generic construction allows us to achieve the post-quantum big data-based AKE scheme (from isogenies, lattice, etc.) in the LTZ-eCK model without random oracles.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.690
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 65, 号 9, 発行日 2024-09-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
公開者
言語 ja
出版者 情報処理学会
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