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In cryptography, FEAL (the Fast data Encipherment Algorithm) is a block cipher proposed as an alternative to the Data Encryption Standard (DES), and designed to be much faster in software. The Feistel based algorithm was first published in 1987 by Akihiro Shimizu and Shoji Miyaguchi from NTT. The cipher is susceptible to various forms of cryptanalysis…
The analysis highlights Standards and Overview as prominent areas in the source structure around FEAL.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around FEAL shows recurring relationship patterns in the source. For example, FEAL → Adi Shamir, Advances, Anne Tardy-Corfdir, Atsuhiro Yamagishi, Attack, Boer, Call, Chosen Plaintexts, Cryptanalysis, CRYPTO, Cryptology, Differential Cryptanalysis, Eli Biham, EUROCRYPT, Fast, FEAL Cipher, FEAL-4, FEAL-6, FEAL-8 Cryptosystem, Gilbert Another extracted example is FEAL → Archived, FEALUS, Peter Gutmann, The FEAL, Wayback Machine. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
cryptanalysis differential attack miyaguchi cipher plaintexts feal-4 1990 known linear rounds feal-8 1991 first den chosen shimizu biham feistel 1988
TTTA extracted 46 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 |
| FEAL | related to External links | The FEAL | 0.60 | section |
| FEAL | related to External links | Peter Gutmann | 0.60 | section |
| FEAL | related to External links | FEALUS | 0.60 | section |
| FEAL | related to External links | Archived | 0.60 | section |
| FEAL | related to External links | Wayback Machine | 0.60 | section |
| FEAL | related to References | Eli Biham | 0.60 | section |
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.
Bridges highlight paths between different parts of the FEAL map and can reveal research angles that are easy to miss in a flat list.
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