Daniel Sandberg

dblp:64/213 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › cryptographic function
APN functions
0.011999
New Families of Almost Perfect Nonlinear Power Mappings · IEEE Trans. Inf. Theory 1999
Coding theory
cryptographic function
0.011999
New Families of Almost Perfect Nonlinear Power Mappings · IEEE Trans. Inf. Theory 1999
Coding theory › boolean functions
differential uniformity
0.011999
New Families of Almost Perfect Nonlinear Power Mappings · IEEE Trans. Inf. Theory 1999
Coding theory › finite fields
power mapping
0.011999
New Families of Almost Perfect Nonlinear Power Mappings · IEEE Trans. Inf. Theory 1999
YearPublicationVenuePosition
1999 New Families of Almost Perfect Nonlinear Power Mappings
abstract
A power mapping f(x)=x/sup d/ over GF(p/sup n/) is said to be differentially k-uniform if k is the maximum number of solutions x/spl isin/GF(p/sup n/) of f(x+a)-f(x)=b where a, b/spl isin/GF(p/sup n/) and a/spl ne/0. A 2-uniform mapping is called almost perfect nonlinear (APN). We construct several new infinite families of nonbinary APN power mappings.
Tor Helleseth, Chunming Rong, Daniel Sandberg
IEEE Trans. Inf. Theory3