Litcius/Paper detail

Sequential Half-Aggregation of Lattice-Based Signatures

Katharina Boudgoust, Akira Takahashi

2024Lecture notes in computer science13 citationsDOIOpen Access PDF

Abstract

With $$\textsf {Dilithium} $$ and $$\textsf {Falcon} $$ , NIST selected two lattice-based signature schemes during their post-quantum standardization project. Whereas $$\textsf {Dilithium} $$ follows the Fiat-Shamir with Aborts (Lyubashevsky, Asiacrypt’09) blueprint, $$\textsf {Falcon} $$ can be seen as an optimized version of the GPV-paradigm (Gentry et al., STOC’06). An important question now is whether those signatures allow additional features such as the aggregation of distinct signatures. One example are sequential aggregate signature ( $$\textsf{SAS}$$ ) schemes (Boneh et al., Eurocrypt’04) which allow a group of signers to sequentially combine signatures on distinct messages in a compressed manner. The present work first reviews the state of the art of (sequentially) aggregating lattice-based signatures, points out the insecurity of one of the existing $$\textsf {Falcon} $$ -based $$\textsf{SAS}$$ (Wang and Wu, PROVSEC’19), and proposes a fix for it. We then construct the first Fiat-Shamir with Aborts based $$\textsf{SAS}$$ by generalizing existing techniques from the discrete-log setting (Chen and Zhao, ESORICS’22) to the lattice framework. Going from the pre-quantum to the post-quantum world, however, does most often come with efficiency penalties. In our work, we also meet obstacles that seem inherent to lattice-based signatures, making the resulting scheme less efficient than what one would hope for. As a result, we only achieve quite small compression rates. We compare our construction with existing lattice-based $$\textsf{SAS}$$ which all follow the GPV-paradigm. The bottom line is that none of the schemes achieves a good compression rate so far.

Topics & Concepts

Computer scienceLattice (music)AlgorithmTheoretical computer sciencePhysicsAcousticsCryptography and Data SecuritySecurity in Wireless Sensor NetworksPrivacy-Preserving Technologies in Data