Cherkaoui, Asmaa, Flores, Ramon, KAHROBAEI, DELARAM orcid.org/0000-0001-5467-7832 et al. (1 more author) (2026) Eidolon: A Post-Quantum Signature Scheme Based on k-Colorability in the Age of Graph Neural Networks. In: Batina, L. and Özbudak, F., (eds.) Arithmetic of Finite Fields (WAIFI 2026). Lecture Notes in Computer Science. Springer, pp. 32-51.
Abstract
We propose Eidolon, a post-quantum signature scheme grounded in the NP-complete k-colorability problem. Our construction generalizes the Goldreich–Micali–Wigderson zero-knowledge protocol to arbitrary , applies the Fiat-Shamir transform, and uses Merkle-tree commitments to compress signatures from O(tn) to . We generate instances by planting a coloring while aiming to preserve the statistical profile of random graphs. We present an empirical security analysis of such a scheme against both classical solvers (ILP, DSatur) and a custom graph neural network (GNN) attacker. Experiments show that for , neither approach is able to recover a valid coloring matching the planted solution, suggesting that well-engineered k-coloring instances can resist the considered classical and learning-based cryptanalytic approaches. These experiments indicate that the constructed instances resist the attacks considered in our evaluation.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Date Deposited: | 03 Jun 2026 23:26 |
| Last Modified: | 03 Jun 2026 23:27 |
| Published Version: | https://doi.org/10.1007/978-3-032-27574-5_3 |
| Status: | Published |
| Publisher: | Springer |
| Series Name: | Lecture Notes in Computer Science |
| Identification Number: | 10.1007/978-3-032-27574-5_3 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241709 |

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