Quantum-safe hybrid key exchanges with KEM-based authentication

Authenticated Key Exchange (AKE) is a foundational cryptographic building block that plays a critical role in safeguarding digital networks and infrastructures. In PQCrypto 2023, Bruckner, Ramacher, and Striecks proposed a novel <i>hybrid</i> AKE (HAKE) protocol dubbed Muckle+, which is particularly useful in large quantum-safe networks consisting of a large number of nodes. The Muckle+ protocol is of a hybrid nature, in that it facilitates the incorporation of key material from conventional, post-quantum, and quantum cryptography primitives into a unified authenticated shared key. To achieve the desired authentication properties, Muckle+ utilizes post-quantum digital signatures. However, the efficiency of available instantiations of such signature schemes is not yet comparable to that of their post-quantum key-encapsulation mechanism (KEM) counterparts, particularly in large networks with potentially several connections in a short period of time. In order to address this discrepancy, the present work proposes Muckle#, a protocol that aims to expand the existing boundaries of efficiency within the HAKE framework. Muckle# utilizes post-quantum KEMs for implicit authentication, drawing inspiration from recent advancements in the domain of Transport Layer Security (TLS) protocols, particularly in KEMTLS (CCS'20). Our KEM-based approach results in a slightly different message flow compared to prior work and we developed novel proof techniques in the process. Moreover, we implemented a proof of concept, thereby demonstrating practicality of this alternative approach to authentication within HAKE.

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Publication Details

Journal
EPJ Quantum Technology
Published
2025-11-10
DOI
https://doi.org/10.1140/epjqt/s40507-025-00425-3
Primary Topic
Advanced Statistical Modeling Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum-safe hybrid key exchanges with KEM-based authentication

Christopher Battarbee, Christoph Striecks, Sebastian Ramacher, Ludovic Perret et al.
EPJ Quantum Technology
Advanced Statistical Modeling Techniques
article

Quantum-safe hybrid key exchanges with KEM-based authentication

Christopher Battarbee, Christoph Striecks, Sebastian Ramacher, Ludovic Perret, Kevin Verhaeghe
article en

Abstract

Authenticated Key Exchange (AKE) is a foundational cryptographic building block that plays a critical role in safeguarding digital networks and infrastructures. In PQCrypto 2023, Bruckner, Ramacher, and Striecks proposed a novel <i>hybrid</i> AKE (HAKE) protocol dubbed Muckle+, which is particularly useful in large quantum-safe networks consisting of a large number of nodes. The Muckle+ protocol is of a hybrid nature, in that it facilitates the incorporation of key material from conventional, post-quantum, and quantum cryptography primitives into a unified authenticated shared key. To achieve the desired authentication properties, Muckle+ utilizes post-quantum digital signatures. However, the efficiency of available instantiations of such signature schemes is not yet comparable to that of their post-quantum key-encapsulation mechanism (KEM) counterparts, particularly in large networks with potentially several connections in a short period of time. In order to address this discrepancy, the present work proposes Muckle#, a protocol that aims to expand the existing boundaries of efficiency within the HAKE framework. Muckle# utilizes post-quantum KEMs for implicit authentication, drawing inspiration from recent advancements in the domain of Transport Layer Security (TLS) protocols, particularly in KEMTLS (CCS'20). Our KEM-based approach results in a slightly different message flow compared to prior work and we developed novel proof techniques in the process. Moreover, we implemented a proof of concept, thereby demonstrating practicality of this alternative approach to authentication within HAKE.

EPJ Quantum TechnologyVol. 12(1)
Centre National de la Recherche Scientifique (FR), AIT Austrian Institute of Technology GmbH (AT), Sorbonne Université (FR), École Pour l'Informatique et les Techniques Avancées (FR), Université Paris 1 Panthéon-Sorbonne (FR)
European Commission, Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Institut Henri Poincaré, Sorbonne Université, HORIZON EUROPE Framework Programme, Office of Naval Research
Openalex Percentile: Top 61%
Advanced Statistical Modeling Techniques
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