FEAL

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FEAL topic overview

The analysis highlights Standards and Overview as prominent areas in the source structure around FEAL.

Related topics: 14
Source areas: 1
Connected nodes: 15
Extracted relationships: 6
Related term clusters: 15
Bridge connections: 15

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 · 14 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: 64 bits
Designers: Akihiro Shimizu and Shoji Miyaguchi (NTT)
First published: FEAL-4 in 1987; FEAL-N/NX in 1990
Key sizes: 64 bits (FEAL), 128 bits (FEAL-NX)
Rounds: Originally 4, then 8, then variable (recommended 32)
Structure: Feistel network

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FEAL

8Cryptography · Block cipher · Data Encryption Standard

6Block size (cryptography) · Key (cryptography) · Chosen plaintext

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 FEAL connects Entity context

The extracted context around FEAL shows recurring relationship patterns in the source. For example, FEAL → 64 bits Another extracted example is FEAL → Akihiro Shimizu and Shoji Miyaguchi (NTT). Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Block sizes · 1

FEAL → 64 bits

Designers · 1

FEAL → Akihiro Shimizu and Shoji Miyaguchi (NTT)

First published · 1

FEAL → FEAL-4 in 1987; FEAL-N/NX in 1990

Key sizes · 1

FEAL → 64 bits (FEAL), 128 bits (FEAL-NX)

Rounds · 1

FEAL → Originally 4, then 8, then variable (recommended 32)

Structure · 1

FEAL → Feistel network

Important terminology

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

Important terminology

cryptanalysis differential attack miyaguchi cipher plaintexts feal-4 1990 known linear rounds feal-8 1991 den chosen shimizu biham feistel 1988 gilbert

FEAL relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around FEAL. Examples in this analysis include FEAL → Block sizes → 64 bits and FEAL → Designers → Akihiro Shimizu and Shoji Miyaguchi (NTT). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
FEAL	Block sizes	64 bits	1.00	infobox
FEAL	Designers	Akihiro Shimizu and Shoji Miyaguchi (NTT)	1.00	infobox
FEAL	First published	FEAL-4 in 1987; FEAL-N/NX in 1990	1.00	infobox
FEAL	Key sizes	64 bits (FEAL), 128 bits (FEAL-NX)	1.00	infobox
FEAL	Rounds	Originally 4, then 8, then variable (recommended 32)	1.00	infobox
FEAL	Structure	Feistel network	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around FEAL bring nearby vocabulary together. In this analysis, examples include Known, Miyaguchi and Feistel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

block cipher
- Feistel
- Feal
- 64-bit
- Faster
- Miyaguchi
- Designers
- Feal-nx
- Key
- Matsui
- Published
- Yamagishi
- Differential
shoji miyaguchi
- Shoji
- Designers
- Shimizu
- Rounds
- Feal
- Feal-nx
- Key
- Published
- Feal-8
- Yamagishi
- Crypto
- Attack
cryptanalysis
- Differential
- Plaintexts
- Linear
- Gilbert
- Feal-4
- Known
- Feal-nx
- Matsui
- Murphy
- Published
- Yamagishi
- Attack
differential cryptanalysis
- Biham
- Differential
- Plaintexts
- Shamir
- Linear
- Attack
- Gilbert
- Feal-4
- Feal-n
- Known
- Feal-nx
- Matsui
linear cryptanalysis
- Plaintexts
- Differential
- Linear
- Matsui
- Yamagishi
- Gilbert
- Feal-4
- Known
- Feal-nx
- Murphy
- Published
- Attack
chosen plaintexts
- Linear
- Known
- Murphy
- Plaintexts
- Matsui
- Published
- Yamagishi
- Cryptanalysis
- Designers
- Feal-n
- Feal-nx
- Key
FEAL
- Known
- Miyaguchi
- Feistel
- Matsui
- Yamagishi
- Crypto
- Shoji
- Linear
- Plaintexts
- Attack
- 64-bit
- Designers
feal
- Known
- Miyaguchi
- Feistel
- Matsui
- Yamagishi
- Crypto
- Shoji
- Linear
- Plaintexts
- Attack
- 64-bit
- Designers

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

FEAL

Nodes16

Edges15

Triples6

Avg. degree1.88

Density0.125

Components1

Source & methodology

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

Source: Wikipedia — FEAL · EN edition · Analysis: TopicsToTalkAbout

FEAL: Standards & Overview

FEAL topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

For the semantics nerds

Advanced semantic analysis

How FEAL connects Entity context

FEAL

Top relations

Important terminology

Important terminology

FEAL relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

FEAL

Source & methodology