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.
Authors
- Christopher Battarbee (ORCID: https://orcid.org/0000-0002-7032-0486)
- Christoph Striecks (ORCID: https://orcid.org/0000-0003-4724-8022)
- Sebastian Ramacher (ORCID: https://orcid.org/0000-0003-1957-3725)
- Ludovic Perret
- Kevin Verhaeghe
Institutions
- 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)
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
Funders
- 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