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Skein is a cryptographic hash function and one of five finalists in the NIST hash function competition. Entered as a candidate to become the SHA-3 standard, the successor of SHA-1 and SHA-2, it ultimately lost to NIST hash candidate Keccak.
The analysis highlights History and Standards as prominent areas in the source structure around Skein (hash function).
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 Skein (hash function) shows recurring relationship patterns in the source. For example, Skein (hash function) → SHA-3 finalist Another extracted example is Skein (hash function) → Threefish. 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.
skein function hash threefish arbitrary bruce core nist attack schneier niels ferguson sha-3 cpb sizes block rounds size based mode
TTTA extracted 12 structured relationships around Skein (hash function). Examples in this analysis include Skein (hash function) → Certification → SHA-3 finalist and Skein (hash function) → Derived from → Threefish. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Skein (hash function) | Certification | SHA-3 finalist | 1.00 | infobox |
| Skein (hash function) | Derived from | Threefish | 1.00 | infobox |
| Skein (hash function) | Designers | Bruce Schneier, Niels Ferguson, et al. | 1.00 | infobox |
| Skein (hash function) | Digest sizes | arbitrary | 1.00 | infobox |
| Skein (hash function) | Rounds | 72 (256 & 512 block size), 80 (1024 block size) | 1.00 | infobox |
| Skein (hash function) | Speed | 6.1 cpb on Core 2. | 1.00 | infobox |
| Skein (hash function) | Structure | Unique Block Iteration | 1.00 | infobox |
| randomized hashing | instance of | and the Skein paper defines optional features | 0.80 | text |
| parallelizable tree hashing | instance of | and the Skein paper defines optional features | 0.80 | text |
| a stream cipher | instance of | and the Skein paper defines optional features | 0.80 | text |
| personalization | instance of | and the Skein paper defines optional features | 0.80 | text |
| and a key derivation function | instance of | and the Skein paper defines optional features | 0.80 | text |
The concept neighborhoods around Skein (hash function) bring nearby vocabulary together. In this analysis, examples include Skein, Nist and Function. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Skein (hash function), one of the stronger structural bridges in this analysis connects Skein (hash function) with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Skein (hash function) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Skein (hash function) · EN edition · Analysis: TopicsToTalkAbout