Paper 2015/1041
The Number of Boolean Functions with Multiplicative Complexity 2
Magnus Gausdal Find, Daniel Smith-Tone, and Meltem Sonmez Turan
Abstract
Multiplicative complexity is a complexity measure defined as the minimum number of AND gates required to implement a given primitive by a circuit over the basis (AND, XOR, NOT). Implementations of ciphers with a small number of AND gates are preferred in protocols for fully homomorphic encryption, multi-party computation and zero-knowledge proofs. In 2002, Fischer and Peralta showed that the number of $n$-variable Boolean functions with multiplicative complexity one equals $2\binom{2^n}{3}$. In this paper, we study Boolean functions with multiplicative complexity 2. By characterizing the structure of these functions in terms of affine equivalence relations, we provide a closed form formula for the number of Boolean functions with multiplicative complexity 2.
Note: We improved the presentation of the results and corrected some mistakes.
Metadata
- Available format(s)
- Category
- Secret-key cryptography
- Publication info
- Preprint. MINOR revision.
- Contact author(s)
- meltemsturan @ gmail com
- History
- 2016-03-10: revised
- 2015-10-28: received
- See all versions
- Short URL
- https://ia.cr/2015/1041
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2015/1041, author = {Magnus Gausdal Find and Daniel Smith-Tone and Meltem Sonmez Turan}, title = {The Number of Boolean Functions with Multiplicative Complexity 2}, howpublished = {Cryptology {ePrint} Archive, Paper 2015/1041}, year = {2015}, url = {https://eprint.iacr.org/2015/1041} }