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IACR Communications in Cryptology
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
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Turning Hash-Based Signatures into Distributed Signatures and Threshold Signatures

Delegate Your Signing Capability, and Distribute it Among Trustees
Authors: John Kelsey; Nathalie Lang; Stefan Lucks;

Turning Hash-Based Signatures into Distributed Signatures and Threshold Signatures

Abstract

We introduce techniques to transform existing stateful hash based signature (HBS) schemes, such as LMS or XMSS, into efficient threshold and distributed signature schemes. Our approach requires a trusted dealer for setup, and uses a large (up to a few GiB, typically) common reference value for each new public key. The dealer generates the keypair and distributes shares of the signing key to the trustees, while creating the CRV. Signing involves an untrusted aggregator communicating point-to-point with a set of trustees. Only the aggregator needs access to the CRV; the trustees need only a PRF key and enough space to remember which one-time keys they have helped to sign with so far. Signing requires two round trips between the aggregator and each participating trustee, and only a little more computation from the trustees and aggregator than is done when signing with the underlying HBS scheme. We reduce the security of our scheme to that of the underlying HBS scheme, assuming the availability of a secure PRF. A dishonest aggregator or tampered CRV can prevent valid signatures from being constructed, but does not allow forgeries. Our techniques offer a powerful practical defense against accidental reuse of a one-time key in stateful HBS schemes by requiring multiple trustees to fail in the same way in order for key reuse to occur.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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