Classification of small binary bibraces via bilinear maps
October 07, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Roberto Civino, Valerio Fedele
arXiv ID
2510.05848
Category
math.RA
Cross-listed
cs.CR
Citations
1
Venue
arXiv.org
Last Checked
3 months ago
Abstract
We classify small binary bibraces, using the correspondence with alternating algebras over the field F2, up to dimension eight, also determining their isomorphism classes. These finite-dimensional algebras, defined by an alternating bilinear multiplication and nilpotency of class two, can be represented by subspaces of skew-symmetric matrices, with classification corresponding to GL(m, F_2)-orbits under congruence. Our approach combines theoretical invariants, such as rank sequences and the identification of primitive algebras, with computational methods implemented in Magma. These results also count the number of possible alternative operations that can be used in differential cryptanalysis.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β math.RA
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Good Integers and Applications in Coding Theory
R.I.P.
π»
Ghosted
Generalized iterated-sums signatures
R.I.P.
π»
Ghosted
Tropical time series, iterated-sums signatures and quasisymmetric functions
R.I.P.
π»
Ghosted
Wajsberg algebras arising from binary block codes
R.I.P.
π»
Ghosted
Constacyclic and Quasi-Twisted Hermitian Self-Dual Codes over Finite Fields
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted