Weightwise (almost) perfectly balanced functions: t-concatenation and the general Maiorana-McFarland class

Datum / Date: 8.12.25
Čas / Time: 15:00-16:00
Predavalnica / Location: FAMNIT-MP1
Predavatelj / Lecturer: Ajla Šehović (University of Primorska)
Naslov / Title: Weightwise (almost) perfectly balanced functions: t-concatenation and the general Maiorana-McFarland class
Povzetek / Abstract:

 
Boolean functions with good cryptographic properties are fundamental in the design of secure symmetric primitives. In 2017, Carlet, Méaux and Rotella studied cryptographic properties of restricted-domain functions in the context of the FLIP stream cipher and introduced the concept of weightwise (almost) perfectly balanced (W(A)PB) functions—Boolean functions that are (almost) balanced on each set of vectors of the same Hamming weight. Several approaches have since been proposed to construct new families of such functions.
In this talk, I will present some new constructions of W(A)PB functions using two approaches. The first class is built via the t-concatenation of Boolean functions, whereas the second one draws certain functions from the so-called general Maiorana-McFarland class. I will present examples of functions in 16 variables that attain some of the best overall nonlinearities, and more importantly, the highest slice nonlinearities among all of the constructions presented in the literature.
This is a joint work with René Rodriguez- Aldama and Leyla Işık.

Delite z drugimi

Orodna vrstica za dostopnost

Politika zasebnosti / Privacy Overview

Ta spletna stran uporablja piškotke, da vam lahko zagotovi najboljšo možno uporabniško izkušnjo. Informacije o piškotkih se shranjujejo v vašem brskalniku in omogočajo funkcije, kot je prepoznavanje ob vašem ponovnem obisku spletne strani, ter pomagajo naši ekipi razumeti, kateri deli spletne strani so za vas najbolj zanimivi in uporabni.


This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.