Generalized Maiorana-McFarland Constructions for Almost Optimal Resilient Functions

Computer Science – Cryptography and Security

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

18 pages

Scientific paper

In a recent paper \cite{Zhang-Xiao}, Zhang and Xiao describe a technique on constructing almost optimal resilient functions on even number of variables. In this paper, we will present an extensive study of the constructions of almost optimal resilient functions by using the generalized Maiorana-McFarland (GMM) construction technique. It is shown that for any given $m$, it is possible to construct infinitely many $n$-variable ($n$ even), $m$-resilient Boolean functions with nonlinearity equal to $2^{n-1}-2^{n/2-1}-2^{k-1}$ where $k2^{n-2}-2^{(n-1)/2}$ ($n$ odd) by using Patterson-Wiedemann functions or Kavut-Y$\ddot{u}$cel functions. Finally, we provide a GMM construction technique for multiple-output almost optimal $m$-resilient functions $F: \mathbb{F}_2^n\mapsto \mathbb{F}_2^r$ ($n$ even) with nonlinearity $>2^{n-1}-2^{n/2}$. Using the methods proposed in this paper, a large class of previously unknown cryptographic resilient functions are obtained.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Generalized Maiorana-McFarland Constructions for Almost Optimal Resilient Functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Generalized Maiorana-McFarland Constructions for Almost Optimal Resilient Functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalized Maiorana-McFarland Constructions for Almost Optimal Resilient Functions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-699868

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.