Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

DFC (cipher): Overview, Related Topics & Entities

In cryptography, DFC (Decorrelated Fast Cipher) is a symmetric block cipher which was created in 1998 by a group of researchers from École Normale Supérieure, CNRS, and France Télécom (including Jacques Stern and Serge Vaudenay) and submitted to the AES competition.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

DFC (cipher) topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around DFC (cipher).

Related topics
25
Source areas
1
Connected nodes
26
Extracted relationships
7
Related term clusters
14
Bridge connections
26

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 25 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Block sizes
128 bits
Designers
Jacques Stern, Serge Vaudenay, et al.
First published
1998
Key sizes
128, 192, or 256 bits
Related to
COCONUT98
Rounds
8

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How DFC (cipher) connects Entity context

The extracted context around DFC (cipher) shows recurring relationship patterns in the source. For example, DFC (cipher) → 128 bits Another extracted example is DFC (cipher) → Jacques Stern, Serge Vaudenay, et al.. Use these groups to spot repeated connection types before inspecting the individual relationships.

DFC (cipher)

Top relations

Block sizes · 1
DFC (cipher) → 128 bits
Designers · 1
DFC (cipher) → Jacques Stern, Serge Vaudenay, et al.
First published · 1
DFC (cipher) → 1998
Key sizes · 1
DFC (cipher) → 128, 192, or 256 bits
Related to · 1
DFC (cipher) → COCONUT98
Rounds · 1
DFC (cipher) → 8
Structure · 1
DFC (cipher) → Feistel network

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

dfc vaudenay uses key stern serge aes using bits 256 feistel network fast cipher jacques knudsen rijmen s-box attack retrieved

DFC (cipher) relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around DFC (cipher). Examples in this analysis include DFC (cipher) → Block sizes → 128 bits and DFC (cipher) → Designers → Jacques Stern, Serge Vaudenay, et al.. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DFC (cipher)Block sizes128 bits1.00infobox
DFC (cipher)DesignersJacques Stern, Serge Vaudenay, et al.1.00infobox
DFC (cipher)First published19981.00infobox
DFC (cipher)Key sizes128, 192, or 256 bits1.00infobox
DFC (cipher)Related toCOCONUT981.00infobox
DFC (cipher)Rounds81.00infobox
DFC (cipher)StructureFeistel network1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around DFC (cipher) bring nearby vocabulary together. In this analysis, examples include Decorrelated, Aes and Dfc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • DFC (cipher)
    • Decorrelated
    • Aes
    • Dfc
    • Attack
    • Bits
    • Jacques
    • Using
    • Block
    • Cryptography
    • Fast
    • Key
    • Serge
  • dfc (cipher)
    • Decorrelated
    • Fast
    • Pdf
    • Postscript
    • Aes
    • Dfc
    • Vaudenay
    • Attack
    • Bits
    • Jacques
    • Using
    • Block
  • block cipher
    • Decorrelated
    • Jacques
    • Fast
    • Serge
    • Stern
    • Pdf
    • Postscript
    • Aes
    • Breaks
    • Cryptography
    • Dfc
    • Differential
  • serge vaudenay
    • Serge
    • Vaudenay
    • Stern
    • Jacques
    • Al
    • Block
    • Et
    • Decorrelated
    • Aes
    • Cipher
    • Fast
    • Breaks
  • chosen-ciphertext attack
    • Breaks
    • Differential
    • Rounds
    • Knudsen
    • Rijmen
    • Block
    • Presented
    • Dfc
    • Bits
    • Cite
    • Feistel
    • Jacques
  • jacques stern
    • Serge
    • Stern
    • Vaudenay
    • Al
    • Breaks
    • Differential
    • Et
    • Rounds
    • Attack
    • Bits
    • Cite
    • Feistel
  • aes competition
    • Decorrelated
    • Cipher
    • Fast
    • Vaudenay
    • Block
    • Cryptography
    • Dfc
    • Including
    • Bits
    • Jacques
    • Pdf
    • Postscript
  • feistel network
    • Network
    • Key
    • Uses
    • Breaks
    • Differential
    • Rounds
    • Schedule
    • Attack
    • Cite
    • Jacques
    • Knudsen
    • Rijmen

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the DFC (cipher) map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

DFC (cipher)

Nodes27
Edges26
Triples7
Avg. degree1.93
Density0.074074
Components1

Source & methodology

TTTA analyzes the structure around DFC (cipher) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — DFC (cipher) · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.

Monitor your Domain Rating with FrogDR